Stacked ensemble learning approach for PCM-based double-pipe latent heat thermal energy storage prediction towards flexible building energy

Author:

Liu YangORCID,Sun Yongjun,Gao Dian-ceORCID,Tan Jiaqi,Chen Yuxin

Funder

Guangdong Provincial Natural Science Foundation

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. A critical review of comparative global historical energy consumption and future demand: the story told so far;Ahmad;Energy Rep,2020

2. Energy flexible buildings: an evaluation of definitions and quantification methodologies applied to thermal storage;Reynders;Energy Build,2018

3. Analysis and modeling of innovation factors to replace fossil fuels with renewable energy sources - evidence from European Union enterprises;Zastempowski;Renew Sustain Energy Rev,2023

4. Eurostat, Final energy consumption by sector, https://ec.europa.eu/eurostat/web/products-datasets/-/ten00124, (Accessed 25 March, 2023).

5. IEA, Iea ebc annex 67 https://www.annex67.org/, (Accessed 23 March, 2023).

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