T. Adefarati

Residential Electrical Load, Solar Energy and Electricity Bill Forecasting Using Hybrid Machine Learning Models with Time-of-Use Tariffs: A Case Study of Durban, South Africa

Accurate forecasting of energy consumption, renewable power output and utility expenditure is essential for sustainable planning of residential buildings and improving smart grid integration. This study presents several techniques such as random forest, gradient boosting regression, extreme gradient boosting, deep beli...