Prediction of Consumption of Energy in an Area

Energy consumption optimization and energy wastage minimization and encouragement of sustainable development. These will mostly depend on the energy prediction patterns. In this research, advanced forms of learning are used to help forecast energy usage area. Due to issues such as high dimensional feature space non-stationary pattern and seasonal variation, the study used the regression analysis, the neural network and the support vector regression. This work also has additional contributions through deep learning integration for increasing accuracy and feature engineering for better prediction capability. Besides, the approach proves useful in strategy formulation based on energy distribution as well as energy planning. These results will gives the Real-Time Energy Consumption Prediction Trends.