A Novel Machine Learning Technique Using CNN to Forecast Power consumption Forecasting using Machine Learning Technique

Abstract

Forecasting of power demand plays an essential role in the electric industry, as it provides the basis for making decisions in power system planning and operation. Forecasting electricity consumption has major importance in the energy planning of the developing countries. In such a dynamic environment, ordinary forecasting techniques are not sufficient, and more sophisticated methods are needed. In energy usage forecasting, several new approaches are used to reliably forecast the potential demands for electricity consumption. In this paper, Machine Learning-Convolution Neural Network based power consumption prediction is proposed. With improved methods and algorithms, Machine Learning is constantly developing. The future could instantly be more effective when extended to the energy sector. The dataset is converted to a simply "trained" machine learning algorithm that enables us to forecast or approximate the energy usage of devices or loads in the future accurately.