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...
Main Authors: | Xiaoyu Lin, Hang Yu, Meng Wang, Chaoen Li, Zi Wang, Yin Tang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/16/4785 |
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