Machine Learning Solution to forecast electricity produced and consumed by Solar Power Prosumers

Predicting electricity to be consumed and produced by prosumers (households/businesses that produces green energy for their use and sells the excess to the national grid) is a challenging task. Not too many reliable solutions are on the market today.

Here I present a proposed solution using Machine Learning + Prophet forecasting tool. This solution was developed as a research, based off a current real-life competition put forward by one of the largest energy companies in the Baltic regions.