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• W2182397890 abstract "Growing concerns about energy consumption reduction and comfort improvement inside buildings make it necessary to optimize the control of any indoor and envelope thermal system. This study proposes a generic on-line method based on Genetic Algorithms for controllers’ setting optimization, with regard to two objectives: energy consumption and indoor discomfort. Consumption and discomfort prediction is used for performance assessment of individuals. Even though prediction is carried out by using physical modelling in this article, the method is doomed to use Neural Networks prediction in the future, in order to save development and simulation time. The method was assessed by being compared to off-line optimization, and showed similar performance." @default.
• W2182397890 created "2016-06-24" @default.
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• W2182397890 date "2012-01-01" @default.
• W2182397890 modified "2023-09-27" @default.
• W2182397890 title "GENERIC MULTI-OBJECTIVE OPTIMIZATION METHOD OF INDOOR AND ENVELOPE SYSTEMS' CONTROL" @default.
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