Applying FB-Prophet Forecasting Method on Electric Grid Systems Day-Ahead Order

The fact that power generation is one of the main sources of producing emissions and extra greenhouse gasses such as carbon dioxide and methane in the earth's atmosphere, requires power section procedures to be optimized. We have utilized a newly developed marketing tool to forecast the day-ahead order for smart grid systems. The open-source FB-Prophet forecasting model captures the main factors involved in electricity demand to forecast the power demand for the same period next day. Trend, seasonality, and holidays of the previous four years of Tennessee region power demand (TVA) is taken as a case study to apply and verify the model in the fifth year. This user-friendly tool can receive the grid characteristics and demand-related data as input and provide the user with day-ahead order amount. Optimizing the day-ahead order amount consequently minimizes the real-time power generation costs, use of fossil fuels, and low efficient real-time power generation emission.