[HTML][HTML] Dispatchable generation analysis and prediction by using machine learning: A case study of South Africa

O Folorunso, R Sadiku, Y Hamam - e-Prime-Advances in Electrical …, 2024 - Elsevier
South African power sector has a total installed capacity of about 58,095 MW. However, in
the past five years, the nation's energy sector has been struggling to generate a daily …

Enhancing Demand Response Forecasting Through Random Forest Regression: A Case Study Analysis

B Chatuanramtharnghaka, S Deb… - 2024 6th International …, 2024 - ieeexplore.ieee.org
Demand response (DR) plays a crucial role in optimizing energy consumption and ensuring
grid reliability. This study investigates the efficacy of Random Forest Regression (RFR) as a …