Energy Consumption Prediction by using Machine Learning

Abstract

Energy consumption prediction is a critical task in today's world, where sustainable energy management and resource optimization are of paramount importance. This abstract presents a machine learning-based approach for accurately predicting energy consumption. By leveraging historical data and various predictive features, our model aims to provide accurate forecasts, enabling better energy resource allocation and efficient energy management.