[
[1] Odugbesan J. A., Rjoub H. Relationship among economic growth, energy consumption, CO2 emission, and urbanization: evidence from MINT countries. Sage Open 2020:10(2). https://doi.org/10.1177/215824402091464810.1177/2158244020914648
]Search in Google Scholar
[
[2] Adebayo T. S., et al. Sustainability of energy-induced growth nexus in Brazil: do carbon emissions and urbanization matter? Sustainability 2021:13(8):4371. https://doi.org/10.3390/su1308437110.3390/su13084371
]Search in Google Scholar
[
[3] Ahmed A. A. A. Corporate attributes and disclosure of accounting information: Evidence from the big five banks of China. Journal of Public Affairs 2021:21(3):2244. https://doi.org/10.1002/pa.224410.1002/pa.2244
]Search in Google Scholar
[
[4] Adebayo T. S., Rjoub H. A new perspective into the impact of renewable and nonrenewable energy consumption on environmental degradation in Argentina: a time–frequency analysis. Environmental Science and Pollution Research 2022:29(11):16028–16044. https://doi.org/10.1007/s11356-021-16897-610.1007/s11356-021-16897-634637122
]Search in Google Scholar
[
[5] Ahmed Z., et al. Economic growth, renewable energy consumption, and ecological footprint: exploring the role of environmental regulations and democracy in sustainable development. Sustainable Development 2021:1–11. https://doi.org/10.1002/sd.225110.1002/sd.2251
]Search in Google Scholar
[
[6] Sibuea M. B., et al. The impact of renewable energy and economic development on environmental quality of ASEAN countries. AgBioForum 2021:23(1):12–21. https://hdl.handle.net/10355/86623
]Search in Google Scholar
[
[7] Talha M., et al. Impact of Oil Prices, Energy Consumption and Economic Growth on the Inflation Rate in Malaysia. Cuadernos de Economía 2021:44(124):26–32.
]Search in Google Scholar
[
[8] Athiyaman A., Magapa T. Market Intelligence from The Internet: An Illustration Using the Biomass Heating Industry. International Journal of Economics and Finance Studies 2019:11(1):1–6. https://doi.org/10.34109/ijefs.20191110110.34109/ijefs.201911101
]Search in Google Scholar
[
[9] Ghaffari M., Javadian N., Tavakkoli-Moghaddam R. Controlling the bullwhip effect in a supply chain network with an inventory replenishment policy by a robust control method. Journal of Optimization in Industrial Engineering 2014:7(16):75–82.
]Search in Google Scholar
[
[10] Ghaffari M., Javadian N., Tavakkoli-Moghaddam, R. Employing an Imperialist Competitive Algorithm to Minimize the Bullwhip Effect in a Supply Chain. World Applied Sciences Journal 2012:20(12):1629–1635.
]Search in Google Scholar
[
[11] Zajmi L., Ahmed F. Y., Jaharadak A. A. Concepts, methods, and performances of particle swarm optimization, backpropagation, and neural networks. Applied Computational Intelligence and Soft Computing 2018:2018: 9547212. https://doi.org/10.1155/2018/954721210.1155/2018/9547212
]Search in Google Scholar
[
[12] Omar H. A. M. B. B., Ali M., Jaharadak A. Green supply chain integrations and corporate sustainability. Uncertain Supply Chain Management 2019:7(4):713–726. http://doi.org/10.5267/j.uscm.2019.3.00110.5267/j.uscm.2019.3.001
]Search in Google Scholar
[
[13] Paul S. C., Rosid M. H. O., Biswas J. Impact of Energy and Natural Resources Rent on FDI: An Analysis through POLS, DK, 2SLS and GMM Models. Energy Economics Letters 2021:8(2):122–133. https://doi.org/10.18488/journal.82.2021.82.122.13310.18488/journal.82.2021.82.122.133
]Search in Google Scholar
[
[14] Singh K., Srivastava A. R&D Management as a Driver for Sustainable Agricultural Innovation and Adoption: Evidence from India. Proceedings of the IOP Conference Series: Earth and Environmental Science 2021:795:012009. https://doi.org/10.1088/1755-1315/795/1/01200910.1088/1755-1315/795/1/012009
]Search in Google Scholar
[
[15] Singh K. V. Green publicizing to gratify buyer’s demands and sustainable growth: Challenges and forecasts. Materials Today: Proceedings 2021:37(P2):2807–2811. https://doi.org/10.1016/j.matpr.2020.08.65310.1016/j.matpr.2020.08.653
]Search in Google Scholar
[
[16] Li M., et al. Renewable energy resources investment and green finance: Evidence from China. Resources Policy 2021:74:102402. https://doi.org/10.1016/j.resourpol.2021.10240210.1016/j.resourpol.2021.102402
]Search in Google Scholar
[
[17] Oladipupo S. D., et al. Impact of Globalization and Renewable Energy Consumption on Environmental Degradation: A Lesson for South Africa. International Journal of Renewable Energy Development 2022:11(1):145–155. https://doi.org/10.14710/ijred.2022.4045210.14710/ijred.2022.40452
]Search in Google Scholar
[
[18] Molajou A., et al. A new paradigm of water, food, and energy nexus. Environmental Science and Pollution Research 2021. https://doi.org/10.1007/s11356-021-13034-110.1007/s11356-021-13034-133634401
]Search in Google Scholar
[
[19] Nourani V., et al. An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios. Journal of Hydrology 2020:587:125018. https://doi.org/10.1016/j.jhydrol.2020.12501810.1016/j.jhydrol.2020.125018
]Search in Google Scholar
[
[20] Tarofder A. K., et al. Impact of ecological factors on nationwide supply chain performance. Ekoloji 2019:28(107):695–704.
]Search in Google Scholar
[
[21] Irandoost A., Kargar S. An integrated optimization of routing and scheduling of liner ships in offshore logistics management. Journal of Research in Science, Engineering and Technology 2021:9(02):17–35.
]Search in Google Scholar
[
[22] Mirsharafeddin S. A Bi-Objective Optimization of Portfolio Risk Response Strategies in Oil and Gas Projects. Journal of Research in Science, Engineering and Technology 2020:8(4):1–18. https://doi.org/10.24200/jrset.vol8iss4pp1-1810.24200/jrset.vol8iss4pp1-18
]Search in Google Scholar
[
[23] Ahmadi Z., Haghighi M., Validi Z. (2020). A Novel Approach for Energy Optimization in Distributed Databases in Wireless Network Applications. Journal of Research in Science, Engineering and Technology 2020:8(2):7–11. https://doi.org/10.24200/jrset.vol8iss2pp7-1110.24200/jrset.vol8iss2pp7-11
]Search in Google Scholar
[
[24] Zainal A. G., Yulianto H., Yanfika H. Financial benefits of the environmentally friendly aquaponic media system. Proceedings of the IOP Conference Series: Earth and Environmental Science 2021:739(1):012024. https://doi.org/10.1088/1755-1315/739/1/01202410.1088/1755-1315/739/1/012024
]Search in Google Scholar
[
[25] Jermsittiparsert K. Linkage Between Energy Consumption, natural Environment Pollution, and Public Health Dynamics in ASEAN. International Journal of Economics and Finance Studies 2021:13(2):1–21.
]Search in Google Scholar
[
[26] Hou R., et al. Assessing of impact climate parameters on the gap between hydropower supply and electricity demand by RCPs scenarios and optimized ANN by the improved Pathfinder (IPF) algorithm. Energy 2021:237:121621. https://doi.org/10.1016/j.energy.2021.12162110.1016/j.energy.2021.121621
]Search in Google Scholar
[
[27] Zhu P., et al. Application of probability decision system and particle swarm optimization for improving soil moisture content. Water Supply 2021:21(8):4145–4152. https://doi.org/10.2166/ws.2021.16910.2166/ws.2021.169
]Search in Google Scholar
[
[28] Trehub M., et al. Evaluating Simulation and Development of Algorithms of Energy Consumption Reduction Based on Wireless Sensor Networks. UCT Journal of Research in Science, Engineering and Technology 2019:7(3):18–24. https://doi.org/10.24200/jrset.vol7iss03pp18-2410.24200/jrset.vol7iss3pp18-24
]Search in Google Scholar
[
[29] Zhang J., et al. Optimal model evaluation of the proton-exchange membrane fuel cells based on deep learning and modified African Vulture Optimization Algorithm. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 2022:44:287–305. https://doi.org/10.1080/15567036.2022.204395610.1080/15567036.2022.2043956
]Search in Google Scholar
[
[30] Waseel A. M., et al. Central heating by seasonal sensible heat storage of solar thermal energy. International Journal of Innovative Research and Scientific Studies 2021:4(2):100–11010.53894/ijirss.v4i2.63
]Search in Google Scholar
[
[31] Ketut N., et al. Analysis of symbolic violence practices in balinese vernacular architecture: A case study in Bali, Indonesia. International Journal of Innovation, Creativity and Change 2020:13(5):184–194.
]Search in Google Scholar
[
[32] Rahman N., et al. Impact of strategic leadership on organizational performance, strategic orientation and operational strategy. Management Science Letters 2018:8(12):1387–1398. http://doi.org/10.5267/j.msl.2018.9.00610.5267/j.msl.2018.9.006
]Search in Google Scholar
[
[33] Chamandoust H., et al. Day-ahead scheduling problem of smart micro-grid with high penetration of wind energy and demand side management strategies. Sustainable Energy Technologies and Assessments 2020:40:100747. https://doi.org/10.1016/j.seta.2020.10074710.1016/j.seta.2020.100747
]Search in Google Scholar
[
[34] Chamandoust H., et al. Optimal Hybrid System Design Based on Renewable Energy Resources. IEEE Smart Grid Conference (SGC) 2017. https://doi.org/10.1109/SGC.2017.830887810.1109/SGC.2017.8308878
]Search in Google Scholar
[
[35] Chamandoust H., et al. Multi-objective performance of smart hybrid energy system with Multi-optimal participation of customers in day-ahead energy market. Energy and Buildings 2020:216:109964. https://doi.org/10.1016/j.enbuild.2020.10996410.1016/j.enbuild.2020.109964
]Search in Google Scholar
[
[36] Chamandoust H., et al. Tri-objective optimal scheduling of smart energy hub system with schedulable loads. Journal of Cleaner Production 2019:236:117584. https://doi.org/10.1016/j.jclepro.2019.07.05910.1016/j.jclepro.2019.07.059
]Search in Google Scholar
[
[37] Chamandoust H., et al. Scheduling of Smart Micro Grid Considering Reserve and Demand Side Management. IEEE Smart Grid Conference (SGC) 2018. https://doi.org/10.1109/SGC.2018.877792610.1109/SGC.2018.8777926
]Search in Google Scholar
[
[38] Chamandoust H., et al. Multi-objective operation of smart stand-alone microgrid with the optimal performance of customers to improve economic and technical indices. Journal of Energy Storage 2020:31:101738. https://doi.org/10.1016/j.est.2020.10173810.1016/j.est.2020.101738
]Search in Google Scholar
[
[39] Chamandoust H., et al. Energy management of a smart autonomous electrical grid with a hydrogen storage system. International journal of hydrogen energy 2021:46:17608–17626. https://doi.org/10.1016/j.ijhydene.2021.02.17410.1016/j.ijhydene.2021.02.174
]Search in Google Scholar
[
[40] Chamandoust H. Optimal hybrid participation of customers in a smart micro-grid based on day-ahead electrical market. Artificial Intelligence Review 2022. https://doi.org/10.1007/s10462-022-10154-z10.1007/s10462-022-10154-z
]Search in Google Scholar
[
[41] Chamandoust H., et al. Tri-objective scheduling of residential smart electrical distribution grids with optimal joint of responsive loads with renewable energy sources. Journal of Energy Storage 2019:27:101112. https://doi.org/10.1016/j.est.2019.10111210.1016/j.est.2019.101112
]Search in Google Scholar
[
[42] Javadi M. S., et al. A Multi-Objective Model for Home Energy Management System Self-Scheduling using the Epsilon-Constraint Method. IEEE 2020. https://doi.org/10.1109/CPE-POWERENG48600.2020.916152610.1109/CPE-POWERENG48600.2020.9161526
]Search in Google Scholar
[
[43] Javadi M. S., et al. Self-scheduling model for home energy management systems considering the end-users discomfort index within price-based demand response programs. Sustainable Cities and Society 2021:68:102792. https://doi.org/10.1016/j.scs.2021.10279210.1016/j.scs.2021.102792
]Search in Google Scholar
[
[44] Ab Yajid M. S. Mediating Role of Organizational Culture on the Association between Business Social Responsibility and Organization Performance in Nigeria. Systematic Reviews in Pharmacy 2020:11(1):646–653.
]Search in Google Scholar
[
[45] Pambreni Y., et al. The influence of total quality management toward organization performance. Management Science Letters 2019:9(9):1397–1406. http://doi.org/10.5267/j.msl.2019.5.01110.5267/j.msl.2019.5.011
]Search in Google Scholar
[
[46] Adebayo S., et al. A Time-Varying Analysis between Financial Development and Carbon Emissions: Evidence from the MINT countries. Energy & Environment 2022.
]Search in Google Scholar
[
[47] Adebayo S., et al. Asymmetric effect of structural change and renewable energy consumption on carbon emissions: designing an SDG framework for Turkey. Environment, Development and Sustainability 2022. https://doi.org/10.1007/s10668-021-02065-w10.1007/s10668-021-02065-w872390735002481
]Search in Google Scholar
[
[48] Van Huong N., et al. Economic Impact of Climate Change on Agriculture: A Case of Vietnam. AgBioForum 2022:24(1):1–12.
]Search in Google Scholar
[
[49] Vo P. H., Ngo T. Q. The Role of Agricultural Financing and Development on Sustainability: Evidence from ASEAN Countries. AgBioForum 2021:23(1):22–31.
]Search in Google Scholar
[
[50] Sadeghifam A. N., et al. Analysis of Windows Element for Energy Saving in a Tropical Residential Buildings in Order to Reduce the Negative Environmental Impacts. Journal of Environmental Treatment Techniques 2021:9(1):1–6. https://doi.org/10.47277/JETT/9(1)610.47277/JETT/9(1)6
]Search in Google Scholar
[
[51] Dabachi U. M., et al. Energy consumption, energy price, energy intensity environmental degradation, and economic growth nexus in African OPEC countries: evidence from simultaneous equations models. Journal of Environmental Treatment Techniques 2020:8(1):403–409.
]Search in Google Scholar
[
[52] Dwijendra N. K. A., et al. Modeling Social Impacts of High-Rise Residential Buildings during the Post-Occupancy Phase Using DEMATEL Method: A Case Study. Buildings 2021:11(11):504. https://doi.org/10.3390/buildings1111050410.3390/buildings11110504
]Search in Google Scholar
