Power Outage Prediction Using Machine Learning Technique

Grid is a combination of different energy sources and loads. It is basic infrastructure to support the whole electricity demand and supply. Continuous matching of demand and supply is a challenging task to handle. There are many possible causes of grid outages, including natural disasters, equipment failures, and human error. Outages can be caused by storms, lightning, high winds, and other extreme weather events that damage transmission lines or power plants. However, grid outage will have catasphoric effect for any industry or country. This work proposes a machine learning based grid outage prediction before it happens. So, this research, offer a machine learning method for anticipating future power grid component failures due to different conditions.