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• W2021019094 abstract "Simulation based energy consumption optimization problems of complicated building, solved by stochastic algorithms, are generally time-consuming. This paper presents a web-based parallel GA optimization framework based on high-throughput distributed computation environment to reduce the computation time of complex building energy optimization applications. The optimization framework has been utilized in an EU FP7 project – SportE2 (Energy Efficiency for Sport Facilities) to conduct large scale buildings energy consumption optimizations. The optimization results achieved for a testing building, KUBIK in Spain, showed a significant computation time deduction while still acquired acceptable optimal results." @default.
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• W2021019094 date "2014-06-01" @default.
• W2021019094 modified "2023-10-02" @default.
• W2021019094 title "High throughput computing based distributed genetic algorithm for building energy consumption optimization" @default.
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• W2021019094 doi "https://doi.org/10.1016/j.enbuild.2014.02.053" @default.
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