Kamal M. Othman

Evaluating and Comparing the Performance of Statistical and Machine Learning Algorithms to Achieve Successful Load Forecasting in Saudi Arabia

Comparisons of six methods covering two statistical and four AI algorithms for forecasting electricity demand confirm that data richness particularly hourly granularity is a decisive factor in forecasting accuracy, and that deep learning models require substantial data volumes to outperform statistical baselines.