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• W2765716401 abstract "The electricity demand from residential buildings is increasing gradually day by day. Home Energy Management Systems (HEMS) are used to meet this demand by using Demand Sides Management (DSM) to reduce the pressure on consumers and utility companies. In this paper, HEMS is facilitated by using different meta-heuristic scheduling techniques: The Strawberry Algorithm (SBA) and Bacterial Foraging Algorithm (BFA). The SBA is useful for every kind of optimization problem and helps in scheduling the electricity load. To compute the cost efficiently Time-of-Use (ToU) pricing scheme is used. Results illustrate that the cost is reduced efficiently along with Peak to Average Ratio (PAR)." @default.
• W2765716401 created "2017-11-10" @default.
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• W2765716401 date "2017-11-02" @default.
• W2765716401 modified "2023-09-28" @default.
• W2765716401 title "Home Energy Management in Smart Grid Using Bacterial Foraging and Strawberry Algorithm" @default.
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• W2765716401 doi "https://doi.org/10.1007/978-3-319-69811-3_49" @default.
• W2765716401 hasPublicationYear "2017" @default.
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