Review
2026
INVESTIGATING MACHINE LEARNING APPLICATIONS FOR SMART GRID-CONNECTED BUILDINGS FOR ENERGY EFFICIENCY: A COMPREHENSIVE REVIEW
The review highlights the significance of machine learning for load forecasting and the prediction of energy usage in buildings, and investigates cutting-edge modelling techniques such as digital twin technology, demonstrating its potential to contribute to energy efficiency.
Mekila Mbayam Olivier, Tijani Bounahmidi
· Journal of Green Building, C... · 0 citations