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Xue, J. (2017). Photovoltaic agriculture-New opportunity for photovoltaic applications in China. Renewable and Sustainable Energy Reviews, 73, 1-9.XueJ. (2017). Photovoltaic agriculture-New opportunity for photovoltaic applications in China. Renewable and Sustainable Energy Reviews, 73, 1-9.Search in Google Scholar
Kruitwagen, L., Story, K. T., Friedrich, J., Byers, L., Skillman, S., & Hepburn, C. (2021). A global inventory of photovoltaic solar energy generating units. Nature, 598(7882), 604-610.KruitwagenL.StoryK. T.FriedrichJ.ByersL.SkillmanS.HepburnC. (2021). A global inventory of photovoltaic solar energy generating units. Nature, 598(7882), 604-610.Search in Google Scholar
Traverse, C. J., Pandey, R., Barr, M. C., & Lunt, R. R. (2017). Emergence of highly transparent photovoltaics for distributed applications. Nature Energy, 2(11), 849-860.TraverseC. J.PandeyR.BarrM. C.LuntR. R. (2017). Emergence of highly transparent photovoltaics for distributed applications. Nature Energy, 2(11), 849-860.Search in Google Scholar
Yan, J., Yang, Y., Elia Campana, P., & He, J. (2019). City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China. Nature Energy, 4(8), 709-717.YanJ.YangY.Elia CampanaP.HeJ. (2019). City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China. Nature Energy, 4(8), 709-717.Search in Google Scholar
Blaabjerg, F., Yang, Y., Yang, D., & Wang, X. (2017). Distributed power-generation systems and protection. Proceedings of the IEEE, 105(7), 1311-1331.BlaabjergF.YangY.YangD.WangX. (2017). Distributed power-generation systems and protection. Proceedings of the IEEE, 105(7), 1311-1331.Search in Google Scholar
Li, J., Chen, S., Wu, Y., Wang, Q., Liu, X., Qi, L., … & Gao, L. (2021). How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China. Renewable and Sustainable Energy Reviews, 137, 110626.LiJ.ChenS.WuY.WangQ.LiuX.QiL.GaoL. (2021). How to make better use of intermittent and variable energy? A review of wind and photovoltaic power consumption in China. Renewable and Sustainable Energy Reviews, 137, 110626.Search in Google Scholar
Nguyen, S., Peng, W., Sokolowski, P., Alahakoon, D., & Yu, X. (2018). Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading. Applied Energy, 228, 2567-2580.NguyenS.PengW.SokolowskiP.AlahakoonD.YuX. (2018). Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading. Applied Energy, 228, 2567-2580.Search in Google Scholar
Ferreira, A., Kunh, S. S., Fagnani, K. C., De Souza, T. A., Tonezer, C., Dos Santos, G. R., & Coimbra-Araújo, C. H. (2018). Economic overview of the use and production of photovoltaic solar energy in brazil. Renewable and Sustainable Energy Reviews, 81, 181-191.FerreiraA.KunhS. S.FagnaniK. C.De SouzaT. A.TonezerC.Dos SantosG. R.Coimbra-AraújoC. H. (2018). Economic overview of the use and production of photovoltaic solar energy in brazil. Renewable and Sustainable Energy Reviews, 81, 181-191.Search in Google Scholar
Sharma, V., Aziz, S. M., Haque, M. H., & Kauschke, T. (2020). Effects of high solar photovoltaic penetration on distribution feeders and the economic impact. Renewable and Sustainable Energy Reviews, 131, 110021.SharmaV.AzizS. M.HaqueM. H.KauschkeT. (2020). Effects of high solar photovoltaic penetration on distribution feeders and the economic impact. Renewable and Sustainable Energy Reviews, 131, 110021.Search in Google Scholar
Zhao, B., Xu, Z., Xu, C., Wang, C., & Lin, F. (2017). Network partition-based zonal voltage control for distribution networks with distributed PV systems. IEEE Transactions on Smart Grid, 9(5), 4087-4098.ZhaoB.XuZ.XuC.WangC.LinF. (2017). Network partition-based zonal voltage control for distribution networks with distributed PV systems. IEEE Transactions on Smart Grid, 9(5), 4087-4098.Search in Google Scholar
Li, H., Lin, H., Tan, Q., Wu, P., Wang, C., De, G., & Huang, L. (2020). Research on the policy route of China’s distributed photovoltaic power generation. Energy Reports, 6, 254-263.LiH.LinH.TanQ.WuP.WangC.DeG.HuangL. (2020). Research on the policy route of China’s distributed photovoltaic power generation. Energy Reports, 6, 254-263.Search in Google Scholar
Guno, C. S., Agaton, C. B., Villanueva, R. O., & Villanueva, R. O. (2021). Optimal investment strategy for solar PV integration in residential buildings: A case study in the Philippines. International Journal of Renewable Energy Development, 10(1), 79.GunoC. S.AgatonC. B.VillanuevaR. O.VillanuevaR. O. (2021). Optimal investment strategy for solar PV integration in residential buildings: A case study in the Philippines. International Journal of Renewable Energy Development, 10(1), 79.Search in Google Scholar
Chen, X., Shi, M., Zhou, J., Zuo, W., Chen, Y., Wen, J., & He, H. (2018). Consensus-based distributed control for photovoltaic-battery units in a DC microgrid. IEEE Transactions on Industrial Electronics, 66(10), 7778-7787.ChenX.ShiM.ZhouJ.ZuoW.ChenY.WenJ.HeH. (2018). Consensus-based distributed control for photovoltaic-battery units in a DC microgrid. IEEE Transactions on Industrial Electronics, 66(10), 7778-7787.Search in Google Scholar
Pasetti, M., Rinaldi, S., & Manerba, D. (2018). A virtual power plant architecture for the demand-side management of smart prosumers. Applied Sciences, 8(3), 432.PasettiM.RinaldiS.ManerbaD. (2018). A virtual power plant architecture for the demand-side management of smart prosumers. Applied Sciences, 8(3), 432.Search in Google Scholar
Jin, M., Feng, W., Marnay, C., & Spanos, C. (2018). Microgrid to enable optimal distributed energy retail and end-user demand response. Applied Energy, 210, 1321-1335.JinM.FengW.MarnayC.SpanosC. (2018). Microgrid to enable optimal distributed energy retail and end-user demand response. Applied Energy, 210, 1321-1335.Search in Google Scholar
Wang, Y., Huang, Y., Wang, Y., Zeng, M., Li, F., Wang, Y., & Zhang, Y. (2018). Energy management of smart micro-grid with response loads and distributed generation considering demand response. Journal of cleaner production, 197, 1069-1083.WangY.HuangY.WangY.ZengM.LiF.WangY.ZhangY. (2018). Energy management of smart micro-grid with response loads and distributed generation considering demand response. Journal of cleaner production, 197, 1069-1083.Search in Google Scholar
Afzal, M., Huang, Q., Amin, W., Umer, K., Raza, A., & Naeem, M. (2020). Blockchain enabled distributed demand side management in community energy system with smart homes. Ieee Access, 8, 37428-37439.AfzalM.HuangQ.AminW.UmerK.RazaA.NaeemM. (2020). Blockchain enabled distributed demand side management in community energy system with smart homes. Ieee Access, 8, 37428-37439.Search in Google Scholar
Carreiro, A. M., Jorge, H. M., & Antunes, C. H. (2017). Energy management systems aggregators: A literature survey. Renewable and sustainable energy reviews, 73, 1160-1172.CarreiroA. M.JorgeH. M.AntunesC. H. (2017). Energy management systems aggregators: A literature survey. Renewable and sustainable energy reviews, 73, 1160-1172.Search in Google Scholar
Tushar, M. H. K., Zeineddine, A. W., & Assi, C. (2017). Demand-side management by regulating charging and discharging of the EV, ESS, and utilizing renewable energy. IEEE Transactions on Industrial Informatics, 14(1), 117-126.TusharM. H. K.ZeineddineA. W.AssiC. (2017). Demand-side management by regulating charging and discharging of the EV, ESS, and utilizing renewable energy. IEEE Transactions on Industrial Informatics, 14(1), 117-126.Search in Google Scholar
Li, K., Wang, F., Mi, Z., Fotuhi-Firuzabad, M., Duić, N., & Wang, T. (2019). Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation. Applied energy, 253, 113595.LiK.WangF.MiZ.Fotuhi-FiruzabadM.DuićN.WangT. (2019). Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation. Applied energy, 253, 113595.Search in Google Scholar
Jin, X., Baker, K., Christensen, D., & Isley, S. (2017). Foresee: A user-centric home energy management system for energy efficiency and demand response. Applied Energy, 205, 1583-1595.JinX.BakerK.ChristensenD.IsleyS. (2017). Foresee: A user-centric home energy management system for energy efficiency and demand response. Applied Energy, 205, 1583-1595.Search in Google Scholar
Sameer Al Dahidi,Mohammad Alrbai,Bilal Rinchi,Loiy Al Ghussain,Osama Ayadi & Ali Alahmer. (2024). A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems. Cleaner Engineering and Technology100831-100831.Sameer AlDahidiMohammadAlrbaiBilalRinchiLoiy AlGhussainOsamaAyadiAliAlahmer (2024). A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems. Cleaner Engineering and Technology100831-100831.Search in Google Scholar
Hongwei Kang,Xin Li,Yong Shen,Xingping Sun & Qingyi Chen. (2024). Particle swarm optimization with historical return decay enhances cooperation in public goods games with investment risks. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena(P1),115665-115665.HongweiKangXinLiYongShenXingpingSunQingyiChen (2024). Particle swarm optimization with historical return decay enhances cooperation in public goods games with investment risks. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena(P1),115665-115665.Search in Google Scholar
Song Zeren,Tian Hongliang,Zuo Tao & Kuang Jiaxin. (2022). A broadband loose coupling coupler with discrete structure and hybrid binary particle swarm genetic optimization algorithm. International Journal of RF and Microwave Computer-Aided Engineering(12).SongZerenTianHongliangZuoTaoKuangJiaxin (2022). A broadband loose coupling coupler with discrete structure and hybrid binary particle swarm genetic optimization algorithm. International Journal of RF and Microwave Computer-Aided Engineering(12).Search in Google Scholar