Interpretable Machine Learning for Predicting Industrial Energy Consumption: A Case Study of South Africa, Egypt, and Morocco

Hybrid BRR–MLP–CatBoost model with interpretable approaches for predicting industrial energy consumption: a case study of South Africa, Egypt, and Morocco

Predictive Model of Energy Consumption Using Machine Learning: A Case Study of Residential Buildings in South Africa

The recurrent load shedding crisis in South Africa has highlighted the need to accurately predict el

Comparative study of hybrid machine learning models to predict the energy consumption of buildings enhanced with PCM: A case study in Morocco

Predicting the thermal performance of buildings is a key research area in the context of improving e

Application of supervised machine learning approaches for predicting household electricity consumption in Alexandria, Egypt

The electricity consumption in the residential sector, which currently represents about 27% of the w