ML Based Strategy for Optimal Power Prediction in IOT

Abstract

With an increase of IoT sensors being deployed in structures and more time collection data being gathered, is essential to research how this new data streams can enhance the forecasting capabilities of structures energy consumption. Nevertheless, IoT subsystems are often developed in a vertical logic and organized independent and shut areas making difficult access to heterogeneous sensing information to test the overall performance of sophisticated predictive versions that combines heterogeneous resources of data. The objective of this work would be to develop an energy prediction program using machine studying algorithms and predict the abnormalities and power usage of a building or even a company