Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Very short-term chiller energy consumption prediction based on simplified heterogeneous graph convolutional network
https://orcid.org/0000-0001-7569-4084
https://orcid.org/0009-0000-0835-5568
https://orcid.org/0000-0003-4008-0773
Very short-term chiller energy consumption prediction based on simplified heterogeneous graph convolutional network
https://orcid.org/0000-0001-7569-4084
https://orcid.org/0009-0000-0835-5568
https://orcid.org/0000-0003-4008-0773
Very short-term chiller energy consumption prediction based on simplified heterogeneous graph convolutional network
https://orcid.org/0000-0001-7569-4084
https://orcid.org/0009-0000-0835-5568
https://orcid.org/0000-0003-4008-0773
Very short-term chiller energy consumption prediction based on simplified heterogeneous graph convolutional network
Energy and Buildings
Zhou, Kate Qi (Autor:in) / Adeepa Fernando, K.N. (Autor:in) / Dai, Xilei (Autor:in) / Liu, Jiuwei (Autor:in) / Li, Wen-Tai (Autor:in) / Lee, Christopher H.T. (Autor:in) / Cheong, Taesu (Autor:in) / Yuen, Chau (Autor:in)
Energy and Buildings ; 329 ; 115249
01.02.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
| American Institute of Physics | 2022
Simplified energy prediction method accounting for part-load performance of chiller
| British Library Online Contents | 2007