Daily power demand prediction for buildings at a large scale using a hybrid of physics-based model and generative adversarial network
Crossref DOI link: https://doi.org/10.1007/s12273-022-0887-y
Published Online: 2022-02-04
Published Print: 2022-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tian, Chenlu
Ye, Yunyang
Lou, Yingli
Zuo, Wangda
Zhang, Guiqing
Li, Chengdong
Text and Data Mining valid from 2022-02-04
Version of Record valid from 2022-02-04
Article History
Received: 15 August 2021
Revised: 6 January 2022
Accepted: 18 January 2022
First Online: 4 February 2022