Automated Power Factor Correction and Predictive Energy Monitoring Using Machine Learning

The generation of power is important. What is more important is the proper utilization of the power generated. Our project "Automated Power Factor Correction and Predictive Energy Monitoring Using Machine Learning" aims to reduce power losses by improving the power factor in the power systems across industries that are the major power consumers. In the quest for optimizing energy efficiency and sustainability in today's electrified world, the integration of Machine Learning(ML) algorithms into power systems is a great way of demonstrating how the energy that is being sent is being utilized can predict what would the energy consumption be in the future which can help in reducing the stress applied on power generation.