Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method

Various algorithms predominantly use data-driven methods for forecasting building electricity consumption. Among them, algorithms that use deep learning methods and, long and short-term memory (LSTM) have shown strong prediction accuracy in numerous fields. However, the LSTM algorithm still has cert...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Xiaoyu Lin, Hang Yu, Meng Wang, Chaoen Li, Zi Wang, Yin Tang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-08-01
Edice:	Energies
Témata:	building electricity consumption prediction meteorological parameters long short-term memory
On-line přístup:	https://www.mdpi.com/1996-1073/14/16/4785
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!