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• W2069372334 startingPage "1518" @default.
• W2069372334 abstract "The optimization of energy consumption, with consequent costs reduction, is one of the main challenges in present and future smart grids. Of course, this has to occur keeping the living comfort for the end-user unchanged. In this work, an approach based on the mixed-integer linear programming paradigm, which is able to provide an optimal solution in terms of tasks power consumption and management of renewable resources, is developed. The proposed algorithm yields an optimal task scheduling under dynamic electrical constraints, while simultaneously ensuring the thermal comfort according to the user needs. On purpose, a suitable thermal model based on heat-pump usage has been considered in the framework. Some computer simulations using real data have been performed, and obtained results confirm the efficiency and robustness of the algorithm, also in terms of achievable cost savings." @default.
• W2069372334 created "2016-06-24" @default.
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• W2069372334 date "2013-08-01" @default.
• W2069372334 modified "2023-10-16" @default.
• W2069372334 title "Optimal Home Energy Management Under Dynamic Electrical and Thermal Constraints" @default.
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• W2069372334 doi "https://doi.org/10.1109/tii.2012.2230637" @default.
• W2069372334 hasPublicationYear "2013" @default.
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