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...

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Bibliografische gegevens

Hoofdauteurs:	Xiaoyu Lin, Hang Yu, Meng Wang, Chaoen Li, Zi Wang, Yin Tang
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2021-08-01
Reeks:	Energies
Onderwerpen:	building electricity consumption prediction meteorological parameters long short-term memory
Online toegang:	https://www.mdpi.com/1996-1073/14/16/4785
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