Multi-objective optimization designs of phase change material-enhanced building using the integration of the Stacking model and NSGA-III algorithm

The incorporation of phase change materials (PCM) into building envelopes has proven to reduce carbon emissions and energy consumption to combat climate change. However, the energy performance of PCM-enhanced building depends on several factors and the optimization of such factors using empirical bu...

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Vydané v:	Journal of energy storage Ročník 68; s. 107807
Hlavní autori:	Yang, Haibin, Xu, Ziqing, Shi, Yuan, Tang, Waiching, Liu, Chunyu, Yunusa-Kaltungo, Akilu, Cui, Hongzhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.09.2023
Predmet:	Building operational energy consumption Life cycle carbon reduction Life cycle economic benefit Machine learning Multi-objective optimization Phase change materials RR PTWW PTF LCCR GBDT PTSW SVR PTR Phase change materials MLR PTEW Building operational energy consumption ML PTNW NSGA-III Life cycle economic benefit XGB BOEC RF LCEB Machine learning Life cycle carbon reduction ERF Multi-objective optimization PCM ADB
ISSN:	2352-152X
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