Machine Learning Approaches for Sustainable Energy Prediction

Abstract: The review covers a spectrum of energy sources, like solar power, wind power. It also delves into aspects of energy prediction such as forecasting energy demand predicting energy production and estimating energy consumption. The review carefully analyses the machine learning algorithms employed in these applications the data sources utilized and the performance metrics used to assess their effectiveness. This analysis provides insights, into the strengths and limitations of these approaches.

Keywords: sustainable energy prediction, Machine Learning (ML), Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), ensemble learning, deep learning, energy forecasting.