A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data

出版年份 2018 全文链接

标题

作者

关键词

Data-driven heating energy analysis, Energetic retrofitting, Quantile regression, D-vine copula, Rebound effect, Performance gap

出版物

APPLIED ENERGY

Volume 233-234, Issue -, Pages 691-708

出版商

Elsevier BV

发表日期

2018-10-27

DOI

10.1016/j.apenergy.2018.10.025

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