Moghimi, Seyed MortezaGulliver, Thomas AaronThirumai Chelvan, Ilamparithi2024-10-102024-10-102024Moghimi, 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/en17030555https://doi.org/10.3390/en17030555https://hdl.handle.net/1828/20566Increasing 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.enAttribution CC BYdemand responseenergy flexibilitygreen buildingsmachine learningoptimizationsmart buildingsArticle