Research Output | Dar Al-hikmah Library | IIUM Only
Solar power prediction is crucial for integrating renewable energy into the grid, but current methods often struggle with accuracy due to the limitations of machine learning algorithms. This study aims to enhance prediction accuracy by comparing the performance of Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) models using datasets