Energy management in modern buildings based on demand prediction and machine learning—A review

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moghimi_seyed_energies_2024.pdf (763.11 KB)

Date

2024

Authors

Moghimi, Seyed Morteza
Gulliver, Thomas Aaron
Thirumai Chelvan, Ilamparithi

Journal Title

Journal ISSN

Volume Title

Publisher

Energies

Abstract

Increasing building energy consumption has led to environmental and economic issues. Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods have been used to improve building energy consumption, but not all have performed well in terms of accuracy and efficiency. In this paper, these methods are examined and evaluated for modern building (MB) DP.

Description

Keywords

demand response, energy flexibility, green buildings, machine learning, optimization, smart buildings

Citation

Moghimi, S. M., Gulliver, T. A., & Thirumai Chelvan, I. (2024). Energy management in modern buildings based on demand prediction and machine learning—A review. Energies, 17(3), Article 3. https://doi.org/10.3390/en17030555

URI

https://doi.org/10.3390/en17030555
 https://hdl.handle.net/1828/20566

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Faculty Publications (Engineering and Computer Science)
 
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