Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models

Commercial buildings are a significant consumer of energy worldwide. Logistics facilities, and specifically warehouses, are a common building type which remain under-researched in the demand-side energy forecasting literature. Warehouses have an idiosyncratic profile when compared to other commercia...

Полное описание

Библиографические подробности

Главные авторы:	Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Patricia Takako Endo, Pierangelo Rosati, Theo Lynn
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-01-01
Серии:	Energies
Предметы:	very short-term load forecasting VSTLF short-term load forecasting STLF deep learning RNN
Online-ссылка:	https://www.mdpi.com/1996-1073/15/3/750
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!