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• W3096865540 abstract "Nowadays, there is a global need for energy management to reduce cost, planet damage and dependence on fossil fuels to save energy. In this paper, we suggest an efficient Energy Management System (EMS) with an emphasis on Demand Response (DR), the planning of generation units in the grid and exchanges between the grid and the upstream network, with the aim of reducing the Market Clearing Price (MCP), Emission Reduction (ER) and consequently reductions of Tax on Carbon (ToC). In the proposed problem, technical and economic constraints include any producer/consumer equipment, as well as the DR, ER, ToC, MCP and grid connection requirements to the main upstream network. To find the best possible solution, Particle Swarm Optimization (PSO) methodology is applied. The obtained results showed a noticeable decrease in MCP and ER by 37% and 55%, respectively." @default.
• W3096865540 created "2020-11-09" @default.
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• W3096865540 date "2020-09-15" @default.
• W3096865540 modified "2023-09-27" @default.
• W3096865540 title "Efficient Energy Managemet System Based on Demand Shifts in Domestic Grid Considering Emission and Tax on Carbon" @default.
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• W3096865540 doi "https://doi.org/10.1109/spies48661.2020.9243011" @default.
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