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- W3127412393 abstract "Renewable sources like solar photovoltaic (PV) generate a significant amount of electricity to our energy system. Currently, the installation of solar PV is increasing rapidly whole over the world. Solar PV produces more energy in mid-day and nearly zero in the evening hours when normally energy demand is high. The power system needs to ramp up conventional power plants to mitigate peak demands. The changing demand generates a duck shape load curve that refers to the duck curve. This duck curve makes the energy system unreliable and inefficient as we added more solar PV to our existing power system. In this paper, we present a demand response system to solve the duck curve problem. The real-time energy price is used to control the loads directly for demand response. Selective household loads are switched off during the demand response process for reducing peak demand. Arduino Mega is used for the computational process of the home energy management system. we have managed to achieve 36.87% reduction of energy consumption during peak hours which helps to solve the duck curve problem and make our energy system more efficient." @default.
- W3127412393 created "2021-02-15" @default.
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- W3127412393 date "2020-11-28" @default.
- W3127412393 modified "2023-10-18" @default.
- W3127412393 title "Implementing Demand Response in The Residential Energy System to Solve Duck Curve Problem" @default.
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- W3127412393 doi "https://doi.org/10.1109/icaict51780.2020.9333449" @default.
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