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- W2521302803 abstract "This paper presents an optimal electricity purchasing model for smart homes using a binary genetic algorithm. The model guides the user on how to use their household appliances in order to satisfy their monthly electricity budget while taking into account their preferred use of appliances. Unlike the currently available models, the proposed model provides a flexible method that is easily implementable by the customer. The results show that it is possible for the customer to obtain a time allocation of when to use their appliances in order to meet their budget while ensuring that the customer's preferred appliances are allocated more time." @default.
- W2521302803 created "2016-09-30" @default.
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- W2521302803 date "2016-06-01" @default.
- W2521302803 modified "2023-09-26" @default.
- W2521302803 title "Optimal electricity purchasing model for smart homes using genetic algorithm" @default.
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- W2521302803 doi "https://doi.org/10.1109/eeeic.2016.7555482" @default.
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