Energy Prediction System Using Internet of Things

Electrical Energy Prediction is a very important task for an industry. Electricity load and price forecasting is fundamental in decision making mechanisms for many energy companies. Wrong estimation of cost leading to over-contracting and under contracting leading to buying and selling the power can lead to loss of finance and there are cases of companies going bankrupt. Due to these reasons, energy predictions are an important feature for safe keeping the company's future. The purpose of this work is to create a energy prediction system using machine learning algorithms such as LSTM, KNN etc. and predict the abnormalities and energy consumption of a building or an company.