The Role of Machine Learning in Predicting Energy Consumption Patterns

Abstract

Machine learning (ML) techniques have gained significant attention in the prediction of energy consumption patterns due to their ability to handle complex, non-linear relationships within data. This paper explores various ML models, such as regression, classification, and deep learning, in forecasting energy usage patterns in residential, commercial, and industrial sectors. The integration of ML in energy consumption prediction allows for more efficient energy management and planning. This article discusses the advantages, challenges, and applications of ML techniques in energy forecasting and provides case studies to illustrate their effectiveness.