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- W3199483368 abstract "Renewable energy displayed an important source for producing electricity, decreasing greenhouse gas emissions, and reducing nonrenewable energy dependence. This chapter highlights the necessity for clean and efficient energy sources through the development of advanced optimization methods. The hybrid system using solar–battery–wind and electric vehicle are meant to maximize energy generation. Complexity arises when determining the optimum design, functionality, and contribution of each system as they are combined to ensure system reliability. The development of the optimization method is generated to find the optimal solution of the hybrid system. In addition, the multiobjective analysis has been involved in achieving economic benefit by overcoming the grid’s generation costs. Reliance demand-side management, a control technique, is developed to schedule the hybrid system’s energy properly. The purpose of the aimed work is to maximize renewables’ use in various generation situations such as weather fluctuation and grid support." @default.
- W3199483368 created "2021-09-27" @default.
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- W3199483368 date "2021-01-01" @default.
- W3199483368 modified "2023-10-02" @default.
- W3199483368 title "Multiobjective optimization-based energy management system considering renewable energy, energy storage systems, and electric vehicles" @default.
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- W3199483368 doi "https://doi.org/10.1016/b978-0-12-820004-9.00016-4" @default.
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