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• W2998049090 abstract "This article presents the advances in the design and implementation of a recommendation system for planning the use of household appliances, focused on improving energy efficiency from the point of view of both energy companies and end-users. The system proposes using historical information and data from sensors to define instances of the planning problem considering user preferences, which in turn are proposed to be solved using a multiobjective evolutionary approach, in order to minimize energy consumption and maximize quality of service offered to users. Promising results are reported on realistic instances of the problem, compared with situations where no intelligent energy planning are used (i.e., ‘Bussiness as Usual’ model) and also with a greedy algorithm developed in the framework of the reference project. The proposed evolutionary approach was able to improve up to 29.0% in energy utilization and up to 65.3% in user preferences over the reference methods." @default.
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• W2998049090 date "2020-01-01" @default.
• W2998049090 modified "2023-10-05" @default.
• W2998049090 title "Multiobjective Household Energy Planning Using Evolutionary Algorithms" @default.
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• W2998049090 doi "https://doi.org/10.1007/978-3-030-38889-8_21" @default.
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