This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abramo, G. (2018). Revisiting the scientometric conceptualization of impact and its measurement. Journal of Informetrics, 12(3), 590–597. https://doi.org/10.1016/j.joi.2018.05.001AbramoG.2018Revisiting the scientometric conceptualization of impact and its measurement123590597https://doi.org/10.1016/j.joi.2018.05.00110.1016/j.joi.2018.05.001Search in Google Scholar
Akbarzadeh, A., Johnson, P., & Singh, R. (2009). Examining potential benefits of combining a chimney with a salinity gradient solar pond for production of power in salt affected areas. Solar Energy, 83(8), 1345–1359. https://doi.org/10.1016/j.solener.2009.02.010AkbarzadehA.JohnsonP.SinghR.2009Examining potential benefits of combining a chimney with a salinity gradient solar pond for production of power in salt affected areas83813451359https://doi.org/10.1016/j.solener.2009.02.01010.1016/j.solener.2009.02.010Search in Google Scholar
Alcaraz, A., Montalà, M., Cortina, J.L., Akbarzadeh, A., Aladjem, C., Farran, A., & Valderrama, C. (2018). Design, construction, and operation of the first industrial salinity-gradient solar pond in Europe: An efficiency analysis perspective. Solar Energy, 164, 316–326. https://doi.org/10.1016/j.solener.2018.02.053AlcarazA.MontalàM.CortinaJ.L.AkbarzadehA.AladjemC.FarranA.ValderramaC.2018Design, construction, and operation of the first industrial salinity-gradient solar pond in Europe: An efficiency analysis perspective164316326https://doi.org/10.1016/j.solener.2018.02.05310.1016/j.solener.2018.02.053Search in Google Scholar
Arroyo, A., Castro, P., Manana, M., Domingo, R., & Laso, A. (2018). CO2 footprint reduction and efficiency increase using the dynamic rate in overhead power lines connected to wind farms. Applied Thermal Engineering, 130, 1156–1162. https://doi.org/10.1016/j.applthermaleng.2017.11.095ArroyoA.CastroP.MananaM.DomingoR.LasoA.2018CO2 footprint reduction and efficiency increase using the dynamic rate in overhead power lines connected to wind farms13011561162https://doi.org/10.1016/j.applthermaleng.2017.11.09510.1016/j.applthermaleng.2017.11.095Search in Google Scholar
Ayyarao, T.S.L.V. (2019). Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control. Protection and Control of Modern Power Systems, 4(1), 1–8. https://doi.org/10.1186/s41601-019-0119-3AyyaraoT.S.L.V.2019Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control4118https://doi.org/10.1186/s41601-019-0119-310.1186/s41601-019-0119-3Search in Google Scholar
Azhari, A.W., Sopian, K., Zaharim, A., & Al Ghoul, M. (2008). A new approach for predicting solar radiation in tropical environment using satellite images – Case study of Malaysia. WSEAS Transactions on Environment and Development, 4(4), 373–378.AzhariA.W.SopianK.ZaharimA.Al GhoulM.2008A new approach for predicting solar radiation in tropical environment using satellite images – Case study of Malaysia44373378Search in Google Scholar
Baierle, I.C., Schaefer, J.L., Sellitto, M.A., Fava, L.P., Furtado, J.C., & Nara, E.O.B. (2020). Moona software for survey classification and evaluation of criteria to support decision-making for properties portfolio. International Journal of Strategic Property Management, 24(4), 226–236. https://doi.org/10.3846/ijspm.2020.12338BaierleI.C.SchaeferJ.L.SellittoM.A.FavaL.P.FurtadoJ.C.NaraE.O.B.2020Moona software for survey classification and evaluation of criteria to support decision-making for properties portfolio244226236https://doi.org/10.3846/ijspm.2020.1233810.3846/ijspm.2020.12338Search in Google Scholar
Bakhtyar, B., Saadatian, O., Alghoul, M.A., Ibrahim, Y., & Sopian, K. (2015). Solar electricity market in Malaysia: A review of feed-in tariff policy. Environmental Progress and Sustainable Energy, 34(2), 600–606. https://doi.org/10.1002/ep.12023BakhtyarB.SaadatianO.AlghoulM.A.IbrahimY.SopianK.2015Solar electricity market in Malaysia: A review of feed-in tariff policy342600606https://doi.org/10.1002/ep.1202310.1002/ep.12023Search in Google Scholar
Bakhtyar, B., Sopian, K., Zaharim, A., Salleh, E., & Lim, C.H. (2013). Potentials and challenges in implementing feed-in tariff policy in Indonesia and the Philippines. Energy Policy, 60, 418–423. https://doi.org/10.1016/j.enpol.2013.05.034BakhtyarB.SopianK.ZaharimA.SallehE.LimC.H.2013Potentials and challenges in implementing feed-in tariff policy in Indonesia and the Philippines60418423https://doi.org/10.1016/j.enpol.2013.05.03410.1016/j.enpol.2013.05.034Search in Google Scholar
Battaglini, A., Komendantova, N., Brtnik, P., & Patt, A. (2012). Perception of barriers for expansion of electricity grids in the European Union. Energy Policy, 47, 254–259. https://doi.org/10.1016/j.enpol.2012.04.065BattagliniA.KomendantovaN.BrtnikP.PattA.2012Perception of barriers for expansion of electricity grids in the European Union47254259https://doi.org/10.1016/j.enpol.2012.04.06510.1016/j.enpol.2012.04.065Search in Google Scholar
Batty, M., & Gleeson, B. (2003). The geography of scientific citation + The Difference that Planning Makes. Environment and Planning A, 35, 761–770. https://doi.org/10.1068/a3505comBattyM.GleesonB.2003The geography of scientific citation + The Difference that Planning Makes35761770https://doi.org/10.1068/a3505com10.1068/a3505comSearch in Google Scholar
Ben Jebli, M., Ben Youssef, S., & Apergis, N. (2019). The dynamic linkage between renewable energy, tourism, CO2 emissions, economic growth, foreign direct investment, and trade. Latin American Economic Review, 28, 2. https://doi.org/10.1186/s40503-019-0063-7Ben JebliM.Ben YoussefS.ApergisN.2019The dynamic linkage between renewable energy, tourism, CO2 emissions, economic growth, foreign direct investment, and trade282https://doi.org/10.1186/s40503-019-0063-710.1186/s40503-019-0063-7Search in Google Scholar
Benchaabane, Y., Silva, R.E., Ibrahim, H., Ilinca, A., Chandra, A., & Rousse, D.R. (2019). Computer Model for Financial, Environmental and Risk Analysis of a Wind–Diesel Hybrid System with Compressed Air Energy Storage. Energies, 12(21), 4054. https://doi.org/10.3390/en12214054BenchaabaneY.SilvaR.E.IbrahimH.IlincaA.ChandraA.RousseD.R.2019Computer Model for Financial, Environmental and Risk Analysis of a Wind–Diesel Hybrid System with Compressed Air Energy Storage12214054https://doi.org/10.3390/en1221405410.3390/en12214054Search in Google Scholar
Bernad, F., Casas, S., Gibert, O., Akbarzadeh, A., Cortina, J.L., & Valderrama, C. (2013). Salinity gradient solar pond: Validation and simulation model. Solar Energy, 98(Part C), 366–374. https://doi.org/10.1016/j.solener.2013.10.004BernadF.CasasS.GibertO.AkbarzadehA.CortinaJ.L.ValderramaC.2013Salinity gradient solar pond: Validation and simulation model98Part C366374https://doi.org/10.1016/j.solener.2013.10.00410.1016/j.solener.2013.10.004Search in Google Scholar
Biddinika, M.K., Diponegoro, A.M., Ali, R.M., Rosyadi, R.I., Tokimatsu, K., & Takahashi, F. (2017). Survey on readability of online information for upgrading understandability of biomass energy technology. Journal of Material Cycles and Waste Management, 19(3), 1069–1076. https://doi.org/10.1007/s10163-017-0596-2BiddinikaM.K.DiponegoroA.M.AliR.M.RosyadiR.I.TokimatsuK.TakahashiF.2017Survey on readability of online information for upgrading understandability of biomass energy technology19310691076https://doi.org/10.1007/s10163-017-0596-210.1007/s10163-017-0596-2Search in Google Scholar
Börner, K., Chen, C., & Boyack, K.W. (2005). Visualizing knowledge domains. Annual Review of Information Science and Technology, 37(1), 179–255. https://doi.org/10.1002/aris.1440370106BörnerK.ChenC.BoyackK.W.2005Visualizing knowledge domains371179255https://doi.org/10.1002/aris.144037010610.1002/aris.1440370106Search in Google Scholar
Börner, K., Klavans, R., Patek, M., Zoss, A.M., Biberstine, J.R., Light, R.P., Larivière, V., & Boyack, K.W. (2012). Design and update of a classification system: The ucsd map of science. PLoS ONE, 7(7), e39464. https://doi.org/10.1371/journal.pone.0039464BörnerK.KlavansR.PatekM.ZossA.M.BiberstineJ.R.LightR.P.LarivièreV.BoyackK.W.2012Design and update of a classification system: The ucsd map of science77e39464https://doi.org/10.1371/journal.pone.003946410.1371/journal.pone.0039464339564322808037Search in Google Scholar
Busuttil, A., Krajačić, G., & Duić, N. (2008). Energy scenarios for Malta. International Journal of Hydrogen Energy, 33(16), 4235–4246. https://doi.org/10.1016/j.ijhydene.2008.06.010BusuttilA.KrajačićG.DuićN.2008Energy scenarios for Malta331642354246https://doi.org/10.1016/j.ijhydene.2008.06.01010.1016/j.ijhydene.2008.06.010Search in Google Scholar
Cabeza, L.F., Galindo, E., Prieto, C., Barreneche, C., & Inés Fernández, A. (2015). Key performance indicators in thermal energy storage: Survey and assessment. Renewable Energy, 83, 820–827. https://doi.org/10.1016/j.renene.2015.05.019CabezaL.F.GalindoE.PrietoC.BarrenecheC.Inés FernándezA.2015Key performance indicators in thermal energy storage: Survey and assessment83820827https://doi.org/10.1016/j.renene.2015.05.01910.1016/j.renene.2015.05.019Search in Google Scholar
Cabeza, L.F., Solé, A., Fontanet, X., Barreneche, C., Jové, A., Gallas, M., Prieto, C., & Fernández, A.I. (2017). Thermochemical energy storage by consecutive reactions for higher efficient concentrated solar power plants (CSP): Proof of concept. Applied Energy, 185(Part 1), 836–845. https://doi.org/10.1016/j.apenergy.2016.10.093CabezaL.F.SoléA.FontanetX.BarrenecheC.JovéA.GallasM.PrietoC.FernándezA.I.2017Thermochemical energy storage by consecutive reactions for higher efficient concentrated solar power plants (CSP): Proof of concept185Part 1836845https://doi.org/10.1016/j.apenergy.2016.10.09310.1016/j.apenergy.2016.10.093Search in Google Scholar
Carrington, P., Scott, J., & Wasserman, S. (2005). Models and methods in social network analysis. Cambridge University Press. https://books.google.com.br/books?hl=pt-BR&lr=&id=4Ty5xP_KcpAC&oi=fnd&pg=PR9&dq=%22Models+and+methods+in+social+network+analysis%22&ots=9NJLv7tbJ3&sig=nBeqcDbBSs5PmezJX3DaVorpS00CarringtonP.ScottJ.WassermanS.2005Cambridge University Presshttps://books.google.com.br/books?hl=pt-BR&lr=&id=4Ty5xP_KcpAC&oi=fnd&pg=PR9&dq=%22Models+and+methods+in+social+network+analysis%22&ots=9NJLv7tbJ3&sig=nBeqcDbBSs5PmezJX3DaVorpS0010.1017/CBO9780511811395Search in Google Scholar
Chakraborty, S., Senjyu, T., Saber, A.Y., Yona, A., & Funabashi, T. (2009). Optimal thermal unit commitment integrated with renewable energy sources using advanced particle swarm optimization. IEEJ Transactions on Electrical and Electronic Engineering, 4(5), 609–617. https://doi.org/10.1002/tee.20453ChakrabortyS.SenjyuT.SaberA.Y.YonaA.FunabashiT.2009Optimal thermal unit commitment integrated with renewable energy sources using advanced particle swarm optimization45609617https://doi.org/10.1002/tee.2045310.1002/tee.20453Search in Google Scholar
Chel, A., & Kaushik, G. (2018). Renewable energy technologies for sustainable development of energy efficient building. Alexandria Engineering Journal, 57(2), 655–669. https://doi.org/10.1016/j.aej.2017.02.027ChelA.KaushikG.2018Renewable energy technologies for sustainable development of energy efficient building572655669https://doi.org/10.1016/j.aej.2017.02.02710.1016/j.aej.2017.02.027Search in Google Scholar
Chen, C., Li, Y., Song, J., Yang, Z., Kuang, Y., Hitz, E., Jia, C., Gong, A., Jiang, F., Zhu, J.Y., Yang, B., Xie, J., & Hu, L. (2017). Highly Flexible and Efficient Solar Steam Generation Device. Advanced Materials, 29(30), 1701756. https://doi.org/10.1002/adma.201701756ChenC.LiY.SongJ.YangZ.KuangY.HitzE.JiaC.GongA.JiangF.ZhuJ.Y.YangB.XieJ.HuL.2017Highly Flexible and Efficient Solar Steam Generation Device29301701756. https://doi.org/10.1002/adma.20170175610.1002/adma.20170175628605077Search in Google Scholar
Child, M., Ilonen, R., Vavilov, M., Kolehmainen, M., & Breyer, C. (2019). Scenarios for sustainable energy in Scotland. Wind Energy, 22(5), 666–684. https://doi.org/10.1002/we.2314ChildM.IlonenR.VavilovM.KolehmainenM.BreyerC.2019Scenarios for sustainable energy in Scotland225666684https://doi.org/10.1002/we.231410.1002/we.2314Search in Google Scholar
Child, M., Nordling, A., & Breyer, C. (2017). Scenarios for a sustainable energy system in the Åland Islands in 2030. Energy Conversion and Management, 137, 49–60. https://doi.org/10.1016/j.enconman.2017.01.039ChildM.NordlingA.BreyerC.2017Scenarios for a sustainable energy system in the Åland Islands in 20301374960https://doi.org/10.1016/j.enconman.2017.01.03910.1016/j.enconman.2017.01.039Search in Google Scholar
Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011a). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166. https://doi.org/10.1016/j.joi.2010.10.002CoboM.J.López-HerreraA.G.Herrera-ViedmaE.HerreraF.2011aAn approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field51146166https://doi.org/10.1016/j.joi.2010.10.00210.1016/j.joi.2010.10.002Search in Google Scholar
Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2011b). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402. https://doi.org/10.1002/asi.21525CoboM.J.López-HerreraA.G.Herrera-ViedmaE.HerreraF.2011bScience mapping software tools: Review, analysis, and cooperative study among tools62713821402https://doi.org/10.1002/asi.2152510.1002/asi.21525Search in Google Scholar
Cobo, M.J., Lõpez-Herrera, A.G., Herrera-Viedma, E., & Herrera, F. (2012). SciMAT: A new science mapping analysis software tool. Journal of the American Society for Information Science and Technology, 63(8), 1609–1630. https://doi.org/10.1002/asi.22688CoboM.J.Lõpez-HerreraA.G.Herrera-ViedmaE.HerreraF.2012SciMAT: A new science mapping analysis software tool63816091630https://doi.org/10.1002/asi.2268810.1002/asi.22688Search in Google Scholar
Cobo, M.J., Martínez, M.A., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. (2015). 25 years at Knowledge-Based Systems: A bibliometric analysis. Knowledge-Based Systems, 80, 3–13. https://doi.org/10.1016/j.knosys.2014.12.035CoboM.J.MartínezM.A.Gutiérrez-SalcedoM.FujitaH.Herrera-ViedmaE.201525 years at Knowledge-Based Systems: A bibliometric analysis80313https://doi.org/10.1016/j.knosys.2014.12.03510.1016/j.knosys.2014.12.035Search in Google Scholar
Cook, D., & Holder, L. (2006). Mining graph data. John Wiley and Sons Inc. https://books.google.com.br/books?hl=pt-BR&lr=&id=bHGy0_H0g8QC&oi=fnd&pg=PR7&dq=cook+%22Mining+graph+data%22&ots=FtWbVNf0hQ&sig=H3zgSQPkN4YwbubpOy7kBjiKvTUCookD.HolderL.2006John Wiley and Sons Inchttps://books.google.com.br/books?hl=pt-BR&lr=&id=bHGy0_H0g8QC&oi=fnd&pg=PR7&dq=cook+%22Mining+graph+data%22&ots=FtWbVNf0hQ&sig=H3zgSQPkN4YwbubpOy7kBjiKvTU10.1002/0470073047Search in Google Scholar
Da Costa, M.B., Dos Santos, L.M.A.L., Schaefer, J.L., Baierle, I.C., & Nara, E.O.B. (2019). Industry 4.0 technologies basic network identification. Scientometrics, 121(2), 977–994. https://doi.org/10.1007/s11192-019-03216-7Da CostaM.B.Dos SantosL.M.A.L.SchaeferJ.L.BaierleI.C.NaraE.O.B.2019Industry 4.0 technologies basic network identification1212977994https://doi.org/10.1007/s11192-019-03216-710.1007/s11192-019-03216-7Search in Google Scholar
Daghigh, R., Ibrahim, A., Jin, G.L., Ruslan, M.H., & Sopian, K. (2011). Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors. Energy Conversion and Management, 52(3), 1741–1747. https://doi.org/10.1016/j.enconman.2010.10.039DaghighR.IbrahimA.JinG.L.RuslanM.H.SopianK.2011Predicting the performance of amorphous and crystalline silicon based photovoltaic solar thermal collectors52317411747https://doi.org/10.1016/j.enconman.2010.10.03910.1016/j.enconman.2010.10.039Search in Google Scholar
De Solla Price, D., & Gürsey, S. (1975). Studies in Scientometrics I Transience and Continuance in Scientific Authorship. Ciência Da Informação, 4(1).De Solla PriceD.GürseyS.1975Studies in Scientometrics I Transience and Continuance in Scientific Authorship41Search in Google Scholar
Dominković, D.F., Bačeković, I., Ćosić, B., Krajačić, G., Pukšec, T., Duić, N., & Markovska, N. (2016). Zero carbon energy system of South East Europe in 2050. Applied Energy, 184, 1517–1528. https://doi.org/10.1016/j.apenergy.2016.03.046DominkovićD.F.BačekovićI.ĆosićB.KrajačićG.PukšecT.DuićN.MarkovskaN.2016Zero carbon energy system of South East Europe in 205018415171528https://doi.org/10.1016/j.apenergy.2016.03.04610.1016/j.apenergy.2016.03.046Search in Google Scholar
Du, E., Zhang, N., Hodge, B.M., Kang, C., Kroposki, B., & Xia, Q. (2018). Economic justification of concentrating solar power in high renewable energy penetrated power systems. Applied Energy, 222, 649–661. https://doi.org/10.1016/j.apenergy.2018.03.161DuE.ZhangN.HodgeB.M.KangC.KroposkiB.XiaQ.2018Economic justification of concentrating solar power in high renewable energy penetrated power systems222649661https://doi.org/10.1016/j.apenergy.2018.03.16110.1016/j.apenergy.2018.03.161Search in Google Scholar
Du, E., Zhang, N., Hodge, B.M., Wang, Q., Lu, Z., Kang, C., Kroposki, B., & Xia, Q. (2019). Operation of a high renewable penetrated power system with CSP plants: A look-ahead stochastic unit commitment model. IEEE Transactions on Power Systems, 34(1), 140–151. https://doi.org/10.1109/TPWRS.2018.2866486DuE.ZhangN.HodgeB.M.WangQ.LuZ.KangC.KroposkiB.XiaQ.2019Operation of a high renewable penetrated power system with CSP plants: A look-ahead stochastic unit commitment model341140151https://doi.org/10.1109/TPWRS.2018.286648610.1109/TPWRS.2018.2866486Search in Google Scholar
Ducom, G., Gautier, M., Pietraccini, M., Tagutchou, J.P., Lebouil, D., & Gourdon, R. (2020). Comparative analyses of three olive mill solid residues from different countries and processes for energy recovery by gasification. Renewable Energy, 145, 180–189. https://doi.org/10.1016/j.renene.2019.05.116DucomG.GautierM.PietracciniM.TagutchouJ.P.LebouilD.GourdonR.2020Comparative analyses of three olive mill solid residues from different countries and processes for energy recovery by gasification145180189https://doi.org/10.1016/j.renene.2019.05.11610.1016/j.renene.2019.05.116Search in Google Scholar
Fagiano, L., & Schnez, S. (2017). On the take-off of airborne wind energy systems based on rigid wings. Renewable Energy, 107, 473–488. https://doi.org/10.1016/j.renene.2017.02.023FagianoL.SchnezS.2017On the take-off of airborne wind energy systems based on rigid wings107473488https://doi.org/10.1016/j.renene.2017.02.02310.1016/j.renene.2017.02.023Search in Google Scholar
Fagiano, Lorenzo, Milanese, M., & Piga, D. (2010). High-altitude wind power generation. IEEE Transactions on Energy Conversion, 25(1), 168–180. https://doi.org/10.1109/TEC.2009.2032582FagianoLorenzoMilaneseM.PigaD.2010High-altitude wind power generation251168180https://doi.org/10.1109/TEC.2009.203258210.1109/TEC.2009.2032582Search in Google Scholar
Fayaz, H., Rahim, N.A., Hasanuzzaman, M., Nasrin, R., & Rivai, A. (2019). Numerical and experimental investigation of the effect of operating conditions on performance of PVT and PVT-PCM. Renewable Energy, 143, 827–841. https://doi.org/10.1016/j.renene.2019.05.041FayazH.RahimN.A.HasanuzzamanM.NasrinR.RivaiA.2019Numerical and experimental investigation of the effect of operating conditions on performance of PVT and PVT-PCM143827841https://doi.org/10.1016/j.renene.2019.05.04110.1016/j.renene.2019.05.041Search in Google Scholar
Garfield, E. (1994). Scientography: Mapping the tracks of science. Contents: Social & Behavioral Sciences, 7(45), 5–10.GarfieldE.1994Scientography: Mapping the tracks of science745510Search in Google Scholar
Garner, J., Porter, A.L., Leidolf, A., & Baker, M. (2020). Measuring and visualizing research collaboration and productivity. Journal of Data and Information Science, 3(1), 54–81. https://doi.org/10.2478/jdis-2018-0004GarnerJ.PorterA.L.LeidolfA.BakerM.2020Measuring and visualizing research collaboration and productivity315481https://doi.org/10.2478/jdis-2018-000410.2478/jdis-2018-0004Search in Google Scholar
Gibb, D., Johnson, M., Romaní, J., Gasia, J., Cabeza, L.F., & Seitz, A. (2018). Process integration of thermal energy storage systems – Evaluation methodology and case studies. Applied Energy, 230, 750–760. https://doi.org/10.1016/j.apenergy.2018.09.001GibbD.JohnsonM.RomaníJ.GasiaJ.CabezaL.F.SeitzA.2018Process integration of thermal energy storage systems – Evaluation methodology and case studies230750760https://doi.org/10.1016/j.apenergy.2018.09.00110.1016/j.apenergy.2018.09.001Search in Google Scholar
Granovskii, M., Dincer, I., & Rosen, M.A. (2007). Exergetic life cycle assessment of hydrogen production from renewables. Journal of Power Sources, 167(2), 461–471. https://doi.org/10.1016/j.jpowsour.2007.02.031GranovskiiM.DincerI.RosenM.A.2007Exergetic life cycle assessment of hydrogen production from renewables1672461471https://doi.org/10.1016/j.jpowsour.2007.02.03110.1016/j.jpowsour.2007.02.031Search in Google Scholar
Guler, A.T., Waaijer, C.J.F., Mohammed, Y., & Palmblad, M. (2016). Automating bibliometric analyses using Taverna scientific workflows: A tutorial on integrating Web Services. Journal of Informetrics, 10(3), 830–841. https://doi.org/10.1016/j.joi.2016.05.002GulerA.T.WaaijerC.J.F.MohammedY.PalmbladM.2016Automating bibliometric analyses using Taverna scientific workflows: A tutorial on integrating Web Services103830841https://doi.org/10.1016/j.joi.2016.05.00210.1016/j.joi.2016.05.002Search in Google Scholar
Hacatoglu, K., Dincer, I., & Rosen, M.A. (2011). Exergy analysis of a hybrid solar hydrogen system with activated carbon storage. International Journal of Hydrogen Energy, 36(5), 3273–3282. https://doi.org/10.1016/j.ijhydene.2010.12.034HacatogluK.DincerI.RosenM.A.2011Exergy analysis of a hybrid solar hydrogen system with activated carbon storage36532733282https://doi.org/10.1016/j.ijhydene.2010.12.03410.1016/j.ijhydene.2010.12.034Search in Google Scholar
Hajibandeh, N., Shafie-khah, M., Osório, G.J., Aghaei, J., & Catalão, J.P.S. (2018). A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators. Applied Energy, 212, 721–732. https://doi.org/10.1016/j.apenergy.2017.12.076HajibandehN.Shafie-khahM.OsórioG.J.AghaeiJ.CatalãoJ.P.S.2018A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators212721732https://doi.org/10.1016/j.apenergy.2017.12.07610.1016/j.apenergy.2017.12.076Search in Google Scholar
Hanel, M., & Escobar, R. (2013). Influence of solar energy resource assessment uncertainty in the levelized electricity cost of concentrated solar power plants in Chile. Renewable Energy, 49, 96–100. https://doi.org/10.1016/j.renene.2012.01.056HanelM.EscobarR.2013Influence of solar energy resource assessment uncertainty in the levelized electricity cost of concentrated solar power plants in Chile4996100https://doi.org/10.1016/j.renene.2012.01.05610.1016/j.renene.2012.01.056Search in Google Scholar
Haseeb, M., Abidin, I.S.Z., Hye, Q.M.A., & Hartani, N.H. (2019). The impact of renewable energy on economic well-being of Malaysia: Fresh evidence from auto regressive distributed lag bound testing approach. International Journal of Energy Economics and Policy, 9(1), 269–275. https://doi.org/10.32479/ijeep.7229HaseebM.AbidinI.S.Z.HyeQ.M.A.HartaniN.H.2019The impact of renewable energy on economic well-being of Malaysia: Fresh evidence from auto regressive distributed lag bound testing approach91269275https://doi.org/10.32479/ijeep.722910.32479/ijeep.7229Search in Google Scholar
Hassan, A., Wahab, A., Qasim, M.A., Janjua, M.M., Ali, M.A., Ali, H.M., Jadoon, T.R., Ali, E., Raza, A., & Javaid, N. (2020). Thermal management and uniform temperature regulation of photovoltaic modules using hybrid phase change materials-nanofluids system. Renewable Energy, 145, 282–293. https://doi.org/10.1016/j.renene.2019.05.130HassanA.WahabA.QasimM.A.JanjuaM.M.AliM.A.AliH.M.JadoonT.R.AliE.RazaA.JavaidN.2020Thermal management and uniform temperature regulation of photovoltaic modules using hybrid phase change materials-nanofluids system145282293https://doi.org/10.1016/j.renene.2019.05.13010.1016/j.renene.2019.05.130Search in Google Scholar
Hodge, B.M., Brancucci Martinez-Anido, C., Wang, Q., Chartan, E., Florita, A., & Kiviluoma, J. (2018). The combined value of wind and solar power forecasting improvements and electricity storage. Applied Energy, 214, 1–15. https://doi.org/10.1016/j.apenergy.2017.12.120HodgeB.M.Brancucci Martinez-AnidoC.WangQ.ChartanE.FloritaA.KiviluomaJ.2018The combined value of wind and solar power forecasting improvements and electricity storage214115https://doi.org/10.1016/j.apenergy.2017.12.12010.1016/j.apenergy.2017.12.120Search in Google Scholar
Hu, C., Chen, X., Dai, Q., Wang, M., Qu, L., & Dai, L. (2017). Earth-abundant carbon catalysts for renewable generation of clean energy from sunlight and water. Nano Energy, 41, 367–376. https://doi.org/10.1016/j.nanoen.2017.09.029HuC.ChenX.DaiQ.WangM.QuL.DaiL.2017Earth-abundant carbon catalysts for renewable generation of clean energy from sunlight and water41367376https://doi.org/10.1016/j.nanoen.2017.09.02910.1016/j.nanoen.2017.09.029Search in Google Scholar
IRENA. (2018). Renewable Energy and Jobs – Annual Review 2018. In /publications/2018/May/Renewable-Energy-and-Jobs-Annual-Review-2018. https://www.irena.org/publications/2018/May/Renewable-Energy-and-Jobs-Annual-Review-2018IRENA2018In /publications/2018/May/Renewable-Energy-and-Jobs-Annual-Review-2018. https://www.irena.org/publications/2018/May/Renewable-Energy-and-Jobs-Annual-Review-2018Search in Google Scholar
Jacob, R., Belusko, M., Inés Fernández, A., Cabeza, L.F., Saman, W., & Bruno, F. (2016). Embodied energy and cost of high temperature thermal energy storage systems for use with concentrated solar power plants. Applied Energy, 180, 586–597. https://doi.org/10.1016/j.apenergy.2016.08.027JacobR.BeluskoM.Inés FernándezA.CabezaL.F.SamanW.BrunoF.2016Embodied energy and cost of high temperature thermal energy storage systems for use with concentrated solar power plants180586597https://doi.org/10.1016/j.apenergy.2016.08.02710.1016/j.apenergy.2016.08.027Search in Google Scholar
Khalid, F., Dincer, I., & Rosen, M.A. (2015). Energy and exergy analyses of a solar-biomass integrated cycle for multigeneration. Solar Energy, 112, 290–299. https://doi.org/10.1016/j.solener.2014.11.027KhalidF.DincerI.RosenM.A.2015Energy and exergy analyses of a solar-biomass integrated cycle for multigeneration112290299https://doi.org/10.1016/j.solener.2014.11.02710.1016/j.solener.2014.11.027Search in Google Scholar
Kipper, L.M., Furstenau, L.B., Hoppe, D., Frozza, R., & Iepsen, S. (2020). Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis. International Journal of Production Research, 58(6), 1605–1627. https://doi.org/10.1080/00207543.2019.1671625KipperL.M.FurstenauL.B.HoppeD.FrozzaR.IepsenS.2020Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis58616051627https://doi.org/10.1080/00207543.2019.167162510.1080/00207543.2019.1671625Search in Google Scholar
Komendantova, N., Patt, A., Barras, L., & Battaglini, A. (2012). Perception of risks in renewable energy projects: The case of concentrated solar power in North Africa. Energy Policy, 40(1), 103–109. https://doi.org/10.1016/j.enpol.2009.12.008KomendantovaN.PattA.BarrasL.BattagliniA.2012Perception of risks in renewable energy projects: The case of concentrated solar power in North Africa401103109https://doi.org/10.1016/j.enpol.2009.12.00810.1016/j.enpol.2009.12.008Search in Google Scholar
Krajačić, G., Vujanović, M., Duić, N., Kılkış, Ş., Rosen, M.A., & Ahmad Al-Nimr, M. (2018). Integrated approach for sustainable development of energy, water and environment systems. Energy Conversion and Management, 159, 398–412. https://doi.org/10.1016/j.enconman.2017.12.016KrajačićG.VujanovićM.DuićN.KılkışŞ.RosenM.A.Ahmad Al-NimrM.2018Integrated approach for sustainable development of energy, water and environment systems159398412https://doi.org/10.1016/j.enconman.2017.12.01610.1016/j.enconman.2017.12.016Search in Google Scholar
Kumar, R.S., & Kaliyaperumal, K. (2015). A scientometric analysis of mobile technology publications. Scientometrics, 105, 921–939. https://doi.org/10.1007/s11192-015-1710-7KumarR.S.KaliyaperumalK.2015A scientometric analysis of mobile technology publications105921939https://doi.org/10.1007/s11192-015-1710-710.1007/s11192-015-1710-7Search in Google Scholar
Leblanc, J., Andrews, J., & Akbarzadeh, A. (2010). Low-temperature solar-thermal multi-effect evaporation desalination systems. International Journal of Energy Research, 34(5), 393–403. https://doi.org/10.1002/er.1642LeblancJ.AndrewsJ.AkbarzadehA.2010Low-temperature solar-thermal multi-effect evaporation desalination systems345393403https://doi.org/10.1002/er.164210.1002/er.1642Search in Google Scholar
Letcher, T.M. (2018). Why Solar Energy? In A Comprehensive Guide to Solar Energy Systems (pp. 3–16). Elsevier. https://doi.org/10.1016/b978-0-12-811479-7.00001-4LetcherT.M.2018Why Solar Energy?In316Elsevierhttps://doi.org/10.1016/b978-0-12-811479-7.00001-410.1016/B978-0-12-811479-7.00001-4Search in Google Scholar
Leydesdorff, L., & Persson, O. (2010). Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology, 61(8), 1622–1634. https://doi.org/10.1002/asi.21347LeydesdorffL.PerssonO.2010Mapping the geography of science: Distribution patterns and networks of relations among cities and institutes61816221634https://doi.org/10.1002/asi.2134710.1002/asi.21347Search in Google Scholar
Light, R.P., Polley, D.E., & Börner, K. (2014). Open data and open code for big science of science studies. Scientometrics, 101, 1535–1551. https://doi.org/10.1007/s11192-014-1238-2LightR.P.PolleyD.E.BörnerK.2014Open data and open code for big science of science studies10115351551https://doi.org/10.1007/s11192-014-1238-210.1007/s11192-014-1238-2Search in Google Scholar
Liu, X., Feng, X., & He, Y. (2019). Rapid discrimination of the categories of the biomass pellets using laser-induced breakdown spectroscopy. Renewable Energy, 143, 176–182. https://doi.org/10.1016/j.renene.2019.04.137LiuX.FengX.HeY.2019Rapid discrimination of the categories of the biomass pellets using laser-induced breakdown spectroscopy143176182https://doi.org/10.1016/j.renene.2019.04.13710.1016/j.renene.2019.04.137Search in Google Scholar
Longo, M., Foiadelli, F., & Yaïci, W. (2019). Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district. International Journal of Energy and Environmental Engineering, 10(3), 271–285. https://doi.org/10.1007/s40095-019-0301-4LongoM.FoiadelliF.YaïciW.2019Simulation and optimisation study of the integration of distributed generation and electric vehicles in smart residential district103271285https://doi.org/10.1007/s40095-019-0301-410.1007/s40095-019-0301-4Search in Google Scholar
Lopez-Rey, A., Campinez-Romero, S., Gil-Ortego, R., & Colmenar-Santos, A. (2019). Evaluation of supply–demand adaptation of photovoltaic–wind hybrid plants integrated into an urban environment. Energies, 12(9), 1780. https://doi.org/10.3390/en12091780Lopez-ReyA.Campinez-RomeroS.Gil-OrtegoR.Colmenar-SantosA.2019Evaluation of supply–demand adaptation of photovoltaic–wind hybrid plants integrated into an urban environment1291780https://doi.org/10.3390/en1209178010.3390/en12091780Search in Google Scholar
Madrazo, A., González, A., Martínez, R., Domingo, R., Mañana, M., Arroyo, A., Castro, P.B., Silió, D., & Lecuna, R. (2015). Analysis of a real case of ampacity management in a 132 kV network integrating high rates of wind energy. Renewable Energy and Power Quality Journal, 1(13), 797–800. https://doi.org/10.24084/repqj13.513MadrazoA.GonzálezA.MartínezR.DomingoR.MañanaM.ArroyoA.CastroP.B.SilióD.LecunaR.2015Analysis of a real case of ampacity management in a 132 kV network integrating high rates of wind energy113797800https://doi.org/10.24084/repqj13.51310.24084/repqj13.513Search in Google Scholar
Madrazo, A., González, A., Martínez, R., Mañana, M., Hervás, E., Arroyo, A., Castro, P.B., & Silió, D. (2013). Increasing grid integration of wind energy by using ampacity techniques. Renewable Energy and Power Quality Journal, 1(11), 1121–1124. https://doi.org/10.24084/repqj11.549MadrazoA.GonzálezA.MartínezR.MañanaM.HervásE.ArroyoA.CastroP.B.SilióD.2013Increasing grid integration of wind energy by using ampacity techniques11111211124https://doi.org/10.24084/repqj11.54910.24084/repqj11.549Search in Google Scholar
Maleki, A., Rosen, M.A., & Pourfayaz, F. (2017). Optimal operation of a grid-connected hybrid renewable energy system for residential applications. Sustainability (Switzerland), 9(8), 1314. https://doi.org/10.3390/su9081314MalekiA.RosenM.A.PourfayazF.2017Optimal operation of a grid-connected hybrid renewable energy system for residential applications981314https://doi.org/10.3390/su908131410.3390/su9081314Search in Google Scholar
Martí-Ballester, C.P. (2019). Do European renewable energy mutual funds foster the transition to a low-carbon economy? Renewable Energy, 143, 1299–1309. https://doi.org/10.1016/j.renene.2019.05.095Martí-BallesterC.P.2019Do European renewable energy mutual funds foster the transition to a low-carbon economy?14312991309https://doi.org/10.1016/j.renene.2019.05.09510.1016/j.renene.2019.05.095Search in Google Scholar
Martínez, M.A., Cobo, M.J., Herrera, M., & Herrera-Viedma, E. (2015). Analyzing the Scientific Evolution of Social Work Using Science Mapping. Research on Social Work Practice, 25(2), 257–277. https://doi.org/10.1177/1049731514522101MartínezM.A.CoboM.J.HerreraM.Herrera-ViedmaE.2015Analyzing the Scientific Evolution of Social Work Using Science Mapping252257277https://doi.org/10.1177/104973151452210110.1177/1049731514522101Search in Google Scholar
Mena, R., Escobar, R., Lorca, Negrete-Pincetic, M., & Olivares, D. (2019). The impact of concentrated solar power in electric power systems: A Chilean case study. Applied Energy, 235, 258–283. https://doi.org/10.1016/j.apenergy.2018.10.088MenaR.EscobarR.LorcaNegrete-PinceticM.OlivaresD.2019The impact of concentrated solar power in electric power systems: A Chilean case study235258283https://doi.org/10.1016/j.apenergy.2018.10.08810.1016/j.apenergy.2018.10.088Search in Google Scholar
Moeller, C., Meiss, J., Mueller, B., Hlusiak, M., Breyer, C., Kastner, M., & Twele, J. (2014). Transforming the electricity generation of the Berlin-Brandenburg region, Germany. Renewable Energy, 72, 39–50. https://doi.org/10.1016/j.renene.2014.06.042MoellerC.MeissJ.MuellerB.HlusiakM.BreyerC.KastnerM.TweleJ.2014Transforming the electricity generation of the Berlin-Brandenburg region, Germany723950https://doi.org/10.1016/j.renene.2014.06.04210.1016/j.renene.2014.06.042Search in Google Scholar
Nara, E.O.B., Schaefer, J.L., de Moraes, J., Tedesco, L.P.C., Furtado, J.C., & Baierle, I.C. (2019). Sourcing research papers on small- and medium-sized enterprises’ competitiveness: An approach based on authors’ networks. Revista Espanola de Documentacion Cientifica, 42(2), e230. https://doi.org/10.3989/redc.2019.2.1602NaraE.O.B.SchaeferJ.L.de MoraesJ.TedescoL.P.C.FurtadoJ.C.BaierleI.C.2019Sourcing research papers on small- and medium-sized enterprises’ competitiveness: An approach based on authors’ networks422e230https://doi.org/10.3989/redc.2019.2.160210.3989/redc.2019.2.1602Search in Google Scholar
Nazri, N.S., Fudholi, A., Ruslan, M.H., & Sopian, K. (2018). Mathematical Modeling of Photovoltaic Thermal-Thermoelectric (PVT-TE) Air Collector. International Journal of Power Electronics and Drive System (IJPEDS), 9(2), 795–802. https://doi.org/10.11591/ijpeds.v9.i2.pp795-802NazriN.S.FudholiA.RuslanM.H.SopianK.2018Mathematical Modeling of Photovoltaic Thermal-Thermoelectric (PVT-TE) Air Collector92795802https://doi.org/10.11591/ijpeds.v9.i2.pp795-80210.11591/ijpeds.v9.i2.pp795-802Search in Google Scholar
Newman, M.E.J. (2001a). Scientific collaboration networks. I. Network construction and fundamental results. Physical Review E – Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 64(1), 016131. https://doi.org/10.1103/PhysRevE.64.016131NewmanM.E.J.2001aScientific collaboration networks. I. Network construction and fundamental results641016131. https://doi.org/10.1103/PhysRevE.64.01613110.1103/PhysRevE.64.01613111461355Search in Google Scholar
Newman, M.E.J. (2001b). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E – Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 64(1), 016132. https://doi.org/10.1103/PhysRevE.64.016132NewmanM.E.J.2001bScientific collaboration networks. II. Shortest paths, weighted networks, and centrality641016132. https://doi.org/10.1103/PhysRevE.64.01613210.1103/PhysRevE.64.01613211461356Search in Google Scholar
Orwig, K.D., Ahlstrom, M.L., Banunarayanan, V., Sharp, J., Wilczak, J.M., Freedman, J., Haupt, S.E., Cline, J., Bartholomy, O., Hamann, H.F., Hodge, B.M., Finley, C., Nakafuji, D., Peterson, J.L., Maggio, D., & Marquis, M. (2015). Recent trends in variable generation forecasting and its value to the power system. IEEE Transactions on Sustainable Energy, 6(3), 924–933. https://doi.org/10.1109/TSTE.2014.2366118OrwigK.D.AhlstromM.L.BanunarayananV.SharpJ.WilczakJ.M.FreedmanJ.HauptS.E.ClineJ.BartholomyO.HamannH.F.HodgeB.M.FinleyC.NakafujiD.PetersonJ.L.MaggioD.MarquisM.2015Recent trends in variable generation forecasting and its value to the power system63924933https://doi.org/10.1109/TSTE.2014.236611810.1109/TSTE.2014.2366118Search in Google Scholar
Osório, G.J., Lujano-Rojas, J.M., Matias, J.C.O., & Catalão, J.P.S. (2015). A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies. International Journal of Electrical Power and Energy Systems, 64, 1063–1072. https://doi.org/10.1016/j.ijepes.2014.09.010OsórioG.J.Lujano-RojasJ.M.MatiasJ.C.O.CatalãoJ.P.S.2015A new scenario generation-based method to solve the unit commitment problem with high penetration of renewable energies6410631072https://doi.org/10.1016/j.ijepes.2014.09.01010.1016/j.ijepes.2014.09.010Search in Google Scholar
Othman, M.Y., Ibrahim, A., Jin, G.L., Ruslan, M.H., & Sopian, K. (2013). Photovoltaic-thermal (PV/T) technology – The future energy technology. Renewable Energy, 49, 171–174. https://doi.org/10.1016/j.renene.2012.01.038OthmanM.Y.IbrahimA.JinG.L.RuslanM.H.SopianK.2013Photovoltaic-thermal (PV/T) technology – The future energy technology49171174https://doi.org/10.1016/j.renene.2012.01.03810.1016/j.renene.2012.01.038Search in Google Scholar
Oyedepo, S.O., Adaramola, M.S., & Paul, S.S. (2012). Analysis of wind speed data and wind energy potential in three selected locations in South-East Nigeria. International Journal of Energy and Environmental Engineering, 3(1), 1–11. https://doi.org/10.1186/2251-6832-3-7OyedepoS.O.AdaramolaM.S.PaulS.S.2012Analysis of wind speed data and wind energy potential in three selected locations in South-East Nigeria31111https://doi.org/10.1186/2251-6832-3-710.1201/b18529-3Search in Google Scholar
Parliament, E. (2009). Directiva 2009/28/CE do Parlamento Europeu e do Conselho. Jornal Oficial Da União Europeia, 47. https://eur-lex.europa.eu/legal-content/PT/TXT/PDF/?uri=CELEX:32009L0028&from=ENParliamentE.2009Directiva 2009/28/CE do Parlamento Europeu e do Conselho47https://eur-lex.europa.eu/legal-content/PT/TXT/PDF/?uri=CELEX:32009L0028&from=ENSearch in Google Scholar
Peiró, G., Prieto, C., Gasia, J., Jové, A., Miró, L., & Cabeza, L.F. (2018). Two-tank molten salts thermal energy storage system for solar power plants at pilot plant scale: Lessons learnt and recommendations for its design, start-up and operation. Renewable Energy, 121, 236–248. https://doi.org/10.1016/j.renene.2018.01.026PeiróG.PrietoC.GasiaJ.JovéA.MiróL.CabezaL.F.2018Two-tank molten salts thermal energy storage system for solar power plants at pilot plant scale: Lessons learnt and recommendations for its design, start-up and operation121236248https://doi.org/10.1016/j.renene.2018.01.02610.1016/j.renene.2018.01.026Search in Google Scholar
Pfeifer, A., Krajačić, G., Ljubas, D., & Duić, N. (2019). Increasing the integration of solar photovoltaics in energy mix on the road to low emissions energy system – Economic and environmental implications. Renewable Energy, 143, 1310–1317. https://doi.org/10.1016/j.renene.2019.05.080PfeiferA.KrajačićG.LjubasD.DuićN.2019Increasing the integration of solar photovoltaics in energy mix on the road to low emissions energy system – Economic and environmental implications14313101317https://doi.org/10.1016/j.renene.2019.05.08010.1016/j.renene.2019.05.080Search in Google Scholar
Poole, A.D., Barnett, A.M., Boes, E., Weinberg, C.J., Ogden, J.M., Carlson, D.E., ..., & Nitsch, J. (1993). Renewable Energy: Sources for fuels and electricity. Island Press. https://books.google.com.br/books?hl=pt-BR&lr=&id=40XtqVMRxOUC&oi=fnd&pg=PA1&dq=Grubb,+M.+J.,+%26+Meyer,+N.+I.+(1993).+Wind+resources.+Renewable+Energy:+Sources+for+Fuels+and+Electricity,+198.&ots=j0ItF__mPr&sig=DFzX4tTyS4dsxCY_iKyjDOnCRc8PooleA.D.BarnettA.M.BoesE.WeinbergC.J.OgdenJ.M.CarlsonD.E.NitschJ.1993Island Presshttps://books.google.com.br/books?hl=pt-BR&lr=&id=40XtqVMRxOUC&oi=fnd&pg=PA1&dq=Grubb,+M.+J.,+%26+Meyer,+N.+I.+(1993).+Wind+resources.+Renewable+Energy:+Sources+for+Fuels+and+Electricity,+198.&ots=j0ItF__mPr&sig=DFzX4tTyS4dsxCY_iKyjDOnCRc8Search in Google Scholar
Rasat, M.S.M., Wahab, R., Mohamed, M., Iqbal Ahmad, M., Hazim Mohamad Amini, M., Mohd Nazri Wan Abdul Rahman, W., Khairul Azhar Abdul Razab, M., Ahmad Mohd Yunus, A., Kelantan, M., & Campus, J. (2016). Preliminary study on properties of small diameter wild leucaena leucocephala species as potential biomass energy sources. ARPN Journal of Engineering and Applied Sciences, 11(9). www.arpnjournals.comRasatM.S.M.WahabR.MohamedM.Iqbal AhmadM.Hazim Mohamad AminiM.Mohd Nazri Wan Abdul RahmanW.Khairul Azhar Abdul RazabM.Ahmad Mohd YunusA.KelantanM.CampusJ.2016Preliminary study on properties of small diameter wild leucaena leucocephala species as potential biomass energy sources119www.arpnjournals.comSearch in Google Scholar
Ren, C., An, N., Wang, J., Li, L., Hu, B., & Shang, D. (2014). Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting. Knowledge-Based Systems, 56, 226–239. https://doi.org/10.1016/j.knosys.2013.11.015RenC.AnN.WangJ.LiL.HuB.ShangD.2014Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting56226239https://doi.org/10.1016/j.knosys.2013.11.01510.1016/j.knosys.2013.11.015Search in Google Scholar
Rezaie, B., Reddy, B.V., & Rosen, M.A. (2018). Exergy Assessment of a Solar-Assisted District Energy System. The Open Fuels & Energy Science Journal, 11, 30. https://doi.org/10.2174/1876973x01811010030RezaieB.ReddyB.V.RosenM.A.2018Exergy Assessment of a Solar-Assisted District Energy System1130https://doi.org/10.2174/1876973x0181101003010.2174/1876973X01811010030Search in Google Scholar
Rodrigues, E.M.G., Osório, G.J., Godina, R., Bizuayehu, A.W., Lujano-Rojas, J.M., Matias, J.C.O., & Catalão, J.P.S. (2015). Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island. Energy, 90 Part 2, 1606–1617. https://doi.org/10.1016/j.energy.2015.06.116RodriguesE.M.G.OsórioG.J.GodinaR.BizuayehuA.W.Lujano-RojasJ.M.MatiasJ.C.O.CatalãoJ.P.S.2015Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island90Part 216061617https://doi.org/10.1016/j.energy.2015.06.11610.1016/j.energy.2015.06.116Search in Google Scholar
Rosa, C.B., Rediske, G., Rigo, P.D., Wendt, J.F.M., Michels, L., & Siluk, J.C.M. (2018). Development of a computational tool for measuring organizational competitiveness in the photovoltaic power plants. Energies, 11(4). https://doi.org/10.3390/en11040867RosaC.B.RediskeG.RigoP.D.WendtJ.F.M.MichelsL.SilukJ.C.M.2018Development of a computational tool for measuring organizational competitiveness in the photovoltaic power plants114https://doi.org/10.3390/en1104086710.3390/en11040867Search in Google Scholar
Roselli, C., Diglio, G., Sasso, M., & Tariello, F. (2019). A novel energy index to assess the impact of a solar PV-based ground source heat pump on the power grid. Renewable Energy, 143, 488–500. https://doi.org/10.1016/j.renene.2019.05.023RoselliC.DiglioG.SassoM.TarielloF.2019A novel energy index to assess the impact of a solar PV-based ground source heat pump on the power grid143488500https://doi.org/10.1016/j.renene.2019.05.02310.1016/j.renene.2019.05.023Search in Google Scholar
Ruiz-Cabañas, F.J., Prieto, C., Madina, V., Fernández, A.I., & Cabeza, L.F. (2017). Materials selection for thermal energy storage systems in parabolic trough collector solar facilities using high chloride content nitrate salts. Solar Energy Materials and Solar Cells, 163, 134–147. https://doi.org/10.1016/j.solmat.2017.01.028Ruiz-CabañasF.J.PrietoC.MadinaV.FernándezA.I.CabezaL.F.2017Materials selection for thermal energy storage systems in parabolic trough collector solar facilities using high chloride content nitrate salts163134147https://doi.org/10.1016/j.solmat.2017.01.02810.1016/j.solmat.2017.01.028Search in Google Scholar
Rukman, N.S.B., Fudholi, A., Taslim, I., Indrianti, M.A., Manyoe, I.N., Lestari, U., & Sopian, K. (2019). Energy and exergy efficiency of water-based photovoltaic thermal (PVT) systems: An overview. International Journal of Power Electronics and Drive Systems, 10(2), 987–994. https://doi.org/10.11591/ijpeds.v10.i2.pp987-994RukmanN.S.B.FudholiA.TaslimI.IndriantiM.A.ManyoeI.N.LestariU.SopianK.2019Energy and exergy efficiency of water-based photovoltaic thermal (PVT) systems: An overview102987994https://doi.org/10.11591/ijpeds.v10.i2.pp987-99410.11591/ijpeds.v10.i2.pp987-994Search in Google Scholar
Sakamoto, R., Senjyu, T., Kaneko, T., Urasaki, N., Takagi, T., & Sugimoto, S. (2008). Output power leveling of wind turbine generator by pitch angle control using H⧜ control. Electrical Engineering in Japan (English Translation of Denki Gakkai Ronbunshi), 162(4), 17–24. https://doi.org/10.1002/eej.20657SakamotoR.SenjyuT.KanekoT.UrasakiN.TakagiT.SugimotoS.2008Output power leveling of wind turbine generator by pitch angle control using H⧜ control16241724https://doi.org/10.1002/eej.2065710.1109/PSCE.2006.296239Search in Google Scholar
Salameh, Z., New York, L., & Diego, S. (2014). Renewable Energy System Design. Academic Press. http://elsevier.com/SalamehZ.New YorkL.DiegoS.2014Academic Presshttp://elsevier.com/Search in Google Scholar
Sassmannshausen, S.P., & Volkmann, C. (2018). The Scientometrics of Social Entrepreneurship and Its Establishment as an Academic Field. Journal of Small Business Management, 56(2), 251–273. https://doi.org/10.1111/jsbm.12254SassmannshausenS.P.VolkmannC.2018The Scientometrics of Social Entrepreneurship and Its Establishment as an Academic Field562251273https://doi.org/10.1111/jsbm.1225410.1111/jsbm.12254Search in Google Scholar
Schaefer, J.L., Siluk, J.C.M., Carvalho, P.S. de, Renes Pinheiro, J., & Schneider, P.S. (2020). Management Challenges and Opportunities for Energy Cloud Development and Diffusion. Energies, 13(16), 4048. https://doi.org/10.3390/en13164048SchaeferJ.L.SilukJ.C.M.CarvalhoP.S. deRenes PinheiroJ.SchneiderP.S.2020Management Challenges and Opportunities for Energy Cloud Development and Diffusion13164048https://doi.org/10.3390/en1316404810.3390/en13164048Search in Google Scholar
Sci2 Tool. (2019). A Tool for Science of Science Research and Practice. https://sci2.cns.iu.edu/user/index.phpSci2 Tool2019https://sci2.cns.iu.edu/user/index.phpSearch in Google Scholar
Senjyu, T., Sakamoto, R., Urasaki, N., Higa, H., Uezato, K., & Funabashi, T. (2006). Output power control of wind turbine generator by pitch angle control using minimum variance control. Electrical Engineering in Japan (English Translation of Denki Gakkai Ronbunshi), 154(2), 10–18. https://doi.org/10.1002/eej.20247SenjyuT.SakamotoR.UrasakiN.HigaH.UezatoK.FunabashiT.2006Output power control of wind turbine generator by pitch angle control using minimum variance control15421018https://doi.org/10.1002/eej.2024710.1002/eej.20247Search in Google Scholar
Shahbaz, M., Solarin, S.A., Hammoudeh, S., & Shahzad, S.J.H. (2017). Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: The role of biomass energy consumption in the United States. Energy Economics, 68, 548–565. https://doi.org/10.1016/j.eneco.2017.10.004ShahbazM.SolarinS.A.HammoudehS.ShahzadS.J.H.2017Bounds testing approach to analyzing the environment Kuznets curve hypothesis with structural beaks: The role of biomass energy consumption in the United States68548565https://doi.org/10.1016/j.eneco.2017.10.00410.1016/j.eneco.2017.10.004Search in Google Scholar
Sharizal Sirrajudin, M., Sukhairi Mat Rasat, M., Wahab, R., Hazim Mohamad Amini, M., Mohamed, M., Iqbal Ahmad, M., Moktar, J., Azhar Ibrahim, M., Kelantan, M., & Campus, J. (2016). Enhancing the Energy Properties of Fugel Pellets from Oil Palm Fronds of Agricultural Residues by Mixing with Glycerin. 11(9). www.arpnjournals.comSharizal SirrajudinM.Sukhairi Mat RasatM.WahabR.Hazim Mohamad AminiM.MohamedM.Iqbal AhmadM.MoktarJ.Azhar IbrahimM.KelantanM.CampusJ.2016119www.arpnjournals.comSearch in Google Scholar
Singh, B., Baharin, N.A., Remeli, M.F., Oberoi, A., Date, A., & Akbarzadeh, A. (2017). Experimental Analysis of Thermoelectric Heat Exchanger for Power Generation from Salinity Gradient Solar Pond Using Low-Grade Heat. Journal of Electronic Materials, 46, 2854–2859. https://doi.org/10.1007/s11664-016-5009-0SinghB.BaharinN.A.RemeliM.F.OberoiA.DateA.AkbarzadehA.2017Experimental Analysis of Thermoelectric Heat Exchanger for Power Generation from Salinity Gradient Solar Pond Using Low-Grade Heat4628542859https://doi.org/10.1007/s11664-016-5009-010.1007/s11664-016-5009-0Search in Google Scholar
Singh, R., Tundee, S., & Akbarzadeh, A. (2011). Electric power generation from solar pond using combined thermosyphon and thermoelectric modules. Solar Energy, 85(2), 371–378. https://doi.org/10.1016/j.solener.2010.11.012SinghR.TundeeS.AkbarzadehA.2011Electric power generation from solar pond using combined thermosyphon and thermoelectric modules852371378https://doi.org/10.1016/j.solener.2010.11.01210.1016/j.solener.2010.11.012Search in Google Scholar
Sinha, A., Shahbaz, M., & Balsalobre, D. (2017). Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries. Journal of Cleaner Production, 168, 1217–1229. https://doi.org/10.1016/j.jclepro.2017.09.071SinhaA.ShahbazM.BalsalobreD.2017Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries16812171229https://doi.org/10.1016/j.jclepro.2017.09.07110.1016/j.jclepro.2017.09.071Search in Google Scholar
Skillicorn, D. (2007). Understanding complex datasets: Data mining with matrix decompositions. In Understanding Complex Datasets: Data Mining with Matrix Decompositions (1st Editio). https://doi.org/10.1201/9781584888338SkillicornD.2007Understanding complex datasets: Data mining with matrix decompositionsIn1st Editiohttps://doi.org/10.1201/978158488833810.1201/9781584888338Search in Google Scholar
Small, H., & Garfield, E. (1985). The geography of science: Disciplinary and national mappings. Journal of Information Science, 11(4), 147–159. https://doi.org/10.1177/016555158501100402SmallH.GarfieldE.1985The geography of science: Disciplinary and national mappings114147159https://doi.org/10.1177/01655515850110040210.1177/016555158501100402Search in Google Scholar
Soltani, R., Mohammadzadeh Keleshtery, P., Vahdati, M., Khoshgoftarmanesh, M.H., Rosen, M.A., & Amidpour, M. (2014). Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem. Energy Conversion and Management, 81, 60–71. https://doi.org/10.1016/j.enconman.2014.02.013SoltaniR.Mohammadzadeh KeleshteryP.VahdatiM.KhoshgoftarmaneshM.H.RosenM.A.AmidpourM.2014Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem816071https://doi.org/10.1016/j.enconman.2014.02.01310.1016/j.enconman.2014.02.013Search in Google Scholar
Stolarski, M.J., Szczukowski, S., Tworkowski, J., Krzyzaniak, M., Gulczyński, P., & Mleczek, M. (2013). Comparison of quality and production cost of briquettes made from agricultural and forest origin biomass. Renewable Energy, 57, 20–26. https://doi.org/10.1016/j.renene.2013.01.005StolarskiM.J.SzczukowskiS.TworkowskiJ.KrzyzaniakM.GulczyńskiP.MleczekM.2013Comparison of quality and production cost of briquettes made from agricultural and forest origin biomass572026https://doi.org/10.1016/j.renene.2013.01.00510.1016/j.renene.2013.01.005Search in Google Scholar
Suarez, J.A., & Luengo, C.A. (2003). Coffee Husk Briquettes: A New Renewable Energy Source. Energy Sources, 25(10), 961–967. https://doi.org/10.1080/00908310303395SuarezJ.A.LuengoC.A.2003Coffee Husk Briquettes: A New Renewable Energy Source2510961967https://doi.org/10.1080/0090831030339510.1080/00908310390232415Search in Google Scholar
Tarfaoui, M., Nachtane, M., & Boudounit, H. (2019). Finite Element Analysis of Composite Offshore Wind Turbine Blades Under Operating Conditions. Journal of Thermal Science and Engineering Applications, 12(1), 011001. https://doi.org/10.1115/1.4042123TarfaouiM.NachtaneM.BoudounitH.2019Finite Element Analysis of Composite Offshore Wind Turbine Blades Under Operating Conditions121011001. https://doi.org/10.1115/1.404212310.1115/1.4042123Search in Google Scholar
Tokimatsu, K., Konishi, S., Ishihara, K., Tezuka, T., Yasuoka, R., & Nishio, M. (2016). Role of innovative technologies under the global zero emissions scenarios. Applied Energy, 162, 1483–1493. https://doi.org/10.1016/j.apenergy.2015.02.051TokimatsuK.KonishiS.IshiharaK.TezukaT.YasuokaR.NishioM.2016Role of innovative technologies under the global zero emissions scenarios16214831493https://doi.org/10.1016/j.apenergy.2015.02.05110.1016/j.apenergy.2015.02.051Search in Google Scholar
Valderrama, C., Gibert, O., Arcal, J., Solano, P., Akbarzadeh, A., Larrotcha, E., & Cortina, J.L. (2011). Solar energy storage by salinity gradient solar pond: Pilot plant construction and gradient control. Desalination, 279(1–3), 445–450. https://doi.org/10.1016/j.desal.2011.06.035ValderramaC.GibertO.ArcalJ.SolanoP.AkbarzadehA.LarrotchaE.CortinaJ.L.2011Solar energy storage by salinity gradient solar pond: Pilot plant construction and gradient control2791–3445450https://doi.org/10.1016/j.desal.2011.06.03510.1016/j.desal.2011.06.035Search in Google Scholar
Vazquez, M. de L., Waaub, J.P., & Ilinca, A. (2013). MCDA: Measuring robustness as a tool to address strategic wind farms issues. Green Energy and Technology, 129, 153–182. https://doi.org/10.1007/978-1-4471-5143-2_8VazquezM. de L.WaaubJ.P.IlincaA.2013MCDA: Measuring robustness as a tool to address strategic wind farms issues129153182https://doi.org/10.1007/978-1-4471-5143-2_810.1007/978-1-4471-5143-2_8Search in Google Scholar
Wang, J., Hu, J., Ma, K., & Zhang, Y. (2015). A self-adaptive hybrid approach for wind speed forecasting. Renewable Energy, 78, 374–385. https://doi.org/10.1016/j.renene.2014.12.074WangJ.HuJ.MaK.ZhangY.2015A self-adaptive hybrid approach for wind speed forecasting78374385https://doi.org/10.1016/j.renene.2014.12.07410.1016/j.renene.2014.12.074Search in Google Scholar
Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press.WassermanS.FaustK.1994Cambridge University Press10.1017/CBO9780511815478Search in Google Scholar
Whiteman, A., Sohn, H., Esparrago, J., Arkhipova, I., & Elsayed, S. (2018). Renewable Capacity Statistics 2018. In /publications/2018/Mar/Renewable-Capacity-Statistics-2018. https://www.irena.org/publications/2018/Mar/Renewable-Capacity-Statistics-2018WhitemanA.SohnH.EsparragoJ.ArkhipovaI.ElsayedS.2018In /publications/2018/Mar/Renewable-Capacity-Statistics-2018. https://www.irena.org/publications/2018/Mar/Renewable-Capacity-Statistics-2018Search in Google Scholar
Wu, J. (2019). Infrastructure of Scientometrics: The Big and Network Picture. Journal of Data and Information Science, 4(4), 1–12. https://doi.org/10.2478/jdis-2019-0017WuJ.2019Infrastructure of Scientometrics: The Big and Network Picture44112https://doi.org/10.2478/jdis-2019-001710.2478/jdis-2019-0017Search in Google Scholar
Wuestman, M.L., Hoekman, J., & Frenken, K. (2019). The geography of scientific citations. Research Policy, 48(7), 1771–1780. https://doi.org/10.1016/j.respol.2019.04.004WuestmanM.L.HoekmanJ.FrenkenK.2019The geography of scientific citations48717711780https://doi.org/10.1016/j.respol.2019.04.00410.1016/j.respol.2019.04.004Search in Google Scholar
Xu, H., Wang, C., Dong, K., Luo, R., Yue, Z., & Pang, H. (2020). A study of methods to identify industry-university-research institution cooperation partners based on innovation Chain theory. Journal of Data and Information Science, 3(2), 38–61. https://doi.org/10.2478/jdis-2018-0008XuH.WangC.DongK.LuoR.YueZ.PangH.2020A study of methods to identify industry-university-research institution cooperation partners based on innovation Chain theory323861https://doi.org/10.2478/jdis-2018-000810.2478/jdis-2018-0008Search in Google Scholar
Yang, W., Wang, J., Lu, H., Niu, T., & Du, P. (2019). Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China. Journal of Cleaner Production, 222, 942–959. https://doi.org/10.1016/j.jclepro.2019.03.036YangW.WangJ.LuH.NiuT.DuP.2019Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China222942959https://doi.org/10.1016/j.jclepro.2019.03.03610.1016/j.jclepro.2019.03.036Search in Google Scholar
Zhang, W., Kleiber, W., Florita, A.R., Hodge, B.M., & Mather, B. (2019). Modeling and simulation of high-frequency solar irradiance. IEEE Journal of Photovoltaics, 9(1), 124–131. https://doi.org/10.1109/JPHOTOV.2018.2879756ZhangW.KleiberW.FloritaA.R.HodgeB.M.MatherB.2019Modeling and simulation of high-frequency solar irradiance91124131https://doi.org/10.1109/JPHOTOV.2018.287975610.1109/JPHOTOV.2018.2879756Search in Google Scholar
Zhang, W., Maleki, A., Rosen, M.A., & Liu, J. (2018). Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage. Energy, 163, 191–207. https://doi.org/10.1016/j.energy.2018.08.112ZhangW.MalekiA.RosenM.A.LiuJ.2018Optimization with a simulated annealing algorithm of a hybrid system for renewable energy including battery and hydrogen storage163191207https://doi.org/10.1016/j.energy.2018.08.11210.1016/j.energy.2018.08.112Search in Google Scholar