Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter

Energy consumption in buildings is gradually increasing and accounts for around forty percent of the total energy consumption. Forecasting the heating and cooling loads of a building during the initial phase of the design process in order to identify optimal solutions among various designs is of utm...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Amal H. Alharbi, Doaa Sami Khafaga, Ahmed Mohamed Zaki, El-Sayed M. El-Kenawy, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Marwa M. Eid, M. El-Said, Nima Khodadadi, Laith Abualigah, Mohammed A. Saeed
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2024-05-01
Seria:	Frontiers in Energy Research
Hasła przedmiotowe:	energy efficiency machine learning hyperparameter tunning grey wolf optimization waterwheel plant algorithm cooling/ heating loads
Dostęp online:	https://www.frontiersin.org/articles/10.3389/fenrg.2024.1393794/full
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!