Abdul Halim Ikram Mohamed

Electricity Demand Forecasting using A Supervised Machine Learning Random Forest Algorithm

The design and development of national power grids are critical to delivering a reliable electricity supply in Malaysia, where accurate load forecasting in low-voltage distribution networks is crucial in ensuring grid efficiency and stability. Traditional forecasting methods often lack of precision and adaptability req...