Computer science

Machine learning

Ensemble Machine Learning Models Improve Predictions for Residential Energy Consumption

Researchers from the Department of Computer Science have made significant contributions to the field of applied computational intelligence and soft computing. Their study presents four ensemble machine learning models for predicting residential energy consumption in South Africa, leveraging historical energy consumption patterns and enhancing predictive abilities through feature engineering methodologies.