Load Forecasting Method Based on Prophet

Electrical safety inspections have always been a necessary condition for the safe operation of power grids, which helps to improve the safety and health level of electricity use by customers, reduce the failure rate of electrical equipment, and ensure the fault-free, safe, and stable operation of the power grid. The load level of electrical safety hazards is an important indicator that describes the size of the load within the safety limits of electrical equipment. Accurate forecasting of the load of electrical safety hazards can predict potential electrical safety incidents in advance, assisting in electrical safety inspections. This paper presents a load forecasting method based on Prophet. Firstly, the load data is preprocessed, then Prophet is used to forecast the load data for the target time period, and finally, the forecasted load values are compared with the actual values using Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and the Coefficient of Determination (R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) to evaluate the performance of the algorithm. After testing, the Prophet algorithm has been shown to effectively predict future load data.