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- W2794080889 abstract "Demand response programs play potential roles in improving the performance and the reliability in smart homes as well as in reducing peak demand and increasing the energy efficiency in residential sector. The aim of this study is to propose an optimal household energy management for residential consumers. In this context, a “Demand response strategy for home power management” is developed. This proposed strategy is built to minimize peak demand by scheduling the appliances operation and moving the shiftable loads during peak periods, when hourly electricity prices are high, to off-peak hours especially when prices are low without affecting the customers' comfort live, ensuring therefore a flatten power load curve. The system results are simulated by using MATLAB software in order to prove the efficiency of the proposed supervision strategy to control the daily household energy consumption." @default.
- W2794080889 created "2018-03-29" @default.
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- W2794080889 date "2017-12-01" @default.
- W2794080889 modified "2023-10-16" @default.
- W2794080889 title "Optimal appliances scheduling for demand response strategy in smart home" @default.
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- W2794080889 doi "https://doi.org/10.1109/sta.2017.8314936" @default.
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