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Montazeri-Gh M., Mahmoodi-K M. An optimal energy management development for various configuration of plug-in and hybrid electric vehicle. Journal of Central South University 2015:22:1737–1747. https://doi.org/10.1007/s11771-015-2692-6Search in Google Scholar
Albadi M., El-Saadany E. A summary of demand response in electricity markets. Electric Power Systems Research 2008:78(11):1989–1996. https://doi.org/10.1016/j.epsr.2008.04.002Search in Google Scholar
Aalami H., Moghaddam M., Yousefi G. Demand response modeling considering interruptible/curtailable loads and capacity market programs. Applied Energy 2010:87(1):243–250. https://doi.org/10.1016/j.apenergy.2009.05.041Search in Google Scholar
Gelazanskas L., Kelum A. A. Gamage. Demand side management in smart grid: A review and proposals for future direction. Sustainable Cities and Society 2014:11:22–30. https://doi.org/10.1016/j.scs.2013.11.001Search in Google Scholar
Faria P., Vale Z. Demand response in electrical energy supply: An optimal real time pricing approach. Energy 2011:36(8):5374–5384. https://doi.org/10.1016/j.energy.2011.06.049Search in Google Scholar
Mitova S., Henao A., Kahsar R., Farmer C. J. Smart Charging for Electric Ride-Hailing Vehicles using Renewables: A San Francisco Case Study. International Journal of Sustainable Energy and Environmental Research 2022:11(2):67–85. https://doi.org/10.18488/13.v11i2.3081Search in Google Scholar
Quijano M. F., Quijano G., Diaz R. Nueva Ecija’s Philippine Lime (Citrofortunella microcarpa) Agribusiness Industry: Marketing Disputes and Economic Outlooks. Asian Journal of Agriculture and Rural Development 2022:12(3):220–226. https://doi.org/10.55493/5005.v12i3.4637Search in Google Scholar
Madanipour V., Montazeri-Gh M., Mahmoodi-k M. Optimization of the component sizing for a plug-in hybrid electric vehicle using a genetic algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 2016:230(5):692–708. https://doi.org/10.1177/0954407015592256Search in Google Scholar
Kavadias K. A., et al. Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network. Applied Energy 2018:227:574–586. https://doi.org/10.1016/j.apenergy.2017.08.050Search in Google Scholar
Lorestani A., Ardehali M. M. Optimal integration of renewable energy sources for autonomous tri-generation combined cooling, heating and power system based on evolutionary particle swarm optimization algorithm. Energy 2018:145:839–855. https://doi.org/10.1016/j.energy.2017.12.155Search in Google Scholar
Bukar A. L. et al. Optimal sizing of an autonomous photovoltaic/wind/battery/diesel generator microgrid using grasshopper optimization algorithm. Solar Energy 2019:188:685–696. https://doi.org/10.1016/j.solener.2019.06.050Search in Google Scholar
Gutierrez-Martín F., et al. Hydrogen storage for off-grid power supply based on solar PV and electrochemical reforming of ethanol-water solutions. Renewable Energy 2020:147:639–649. https://doi.org/10.1016/j.renene.2019.09.034Search in Google Scholar
Padrón I., et al. Assessment of Hybrid Renewable Energy Systems to supplied energy to Autonomous Desalination Systems in two islands of the Canary Archipelago. Renewable and Sustainable Energy Reviews 2019:101:221–230. https://doi.org/10.1016/j.rser.2018.11.009Search in Google Scholar
Madanipour V., Montazeri-Gh M., Mahmoodi-k M. Multi-objective component sizing of plug-in hybrid electric vehicle for optimal energy management. Clean Technologies and Environmental Policy 2016:18:1189–1202. https://doi.org/10.1007/s10098-016-1115-1Search in Google Scholar
Apichonnabutr W., Tiwary A. Trade-offs between economic and environmental performance of an autonomous hybrid energy system using micro hydro. Applied Energy 2018:226:891–904. https://doi.org/10.1016/j.apenergy.2018.06.012Search in Google Scholar
Muda I. Optimal Energy Scheduling of Appliances in Smart Buildings Based on Economic and Technical Indices. Environmental and Climate Technologies 2022:26(1):561–573. https://doi.org/10.2478/rtuect-2022-0043Search in Google Scholar
Rashidi Zadeh D., et al. An economic and environmental optimization model in a micro grid with demand response. Environmental and Climate Technologies 2022:26:730–741. https://doi.org/10.2478/rtuect-2022-0056Search in Google Scholar
Sharma S., et al. Economic Performance of a Hybrid Renewable Energy System with Optimal Design of Resources. Environmental and Climate Technologies 2022:26(1):441–453. https://doi.org/10.2478/rtuect-2022-0034Search in Google Scholar
Aghaei J., Amjady N., Shayanfar H. A. Multi-objective electricity market clearing considering dynamic security by lexicographic optimization and augmented epsilon constraint method. Applied Soft Computing 2011:11(4):3846–3858. https://doi.org/10.1016/j.asoc.2011.02.022Search in Google Scholar
Amjady N., Aghaei J., Shayanfar H. A. Stochastic multiobjective market clearing of joint energy and reserves auctions ensuring power system security. IEEE Transactions on Power Systems 2009:24(4):1841–1854. https://doi.org/10.1109/TPWRS.2009.2030364Search in Google Scholar
Bhimarasetti R., Kumar A. Distributed generation placement in unbalanced distribution system with seasonal load variation. 2014 Eighteenth National Power Systems Conference (NPSC). 2014. https://doi.org/10.1109/NPSC.2014.7103786Search in Google Scholar
Cau G., Cocco D., Petrollese M., Kær S. K., Milan C. Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system. Energy Conversion and Management 2014:87:820-831. https://doi.org/10.1016/j.enconman.2014.07.078Search in Google Scholar