Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning

Energy Management in Modern Buildings Based on Demand Prediction and Machine Learning—A Review

Published:2024-01-23 Issue:3 Volume:17 Page:555
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Moghimi Seyed Morteza¹^ORCID,Gulliver Thomas Aaron¹^ORCID,Thirumai Chelvan Ilamparithi¹

Affiliation:

1. Department of Electrical and Computer Engineering, University of Victoria, P.O. Box 1700, STN CSC, Victoria, BC V8W 2Y2, Canada

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.

Publisher

MDPI AG

Link

https://www.mdpi.com/1996-1073/17/3/555/pdf

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