A new power load forecasting method based on optimized Prophet algorithm is presented. A power load time series can be disassembled into trend term

seasonal term and random term by Prophet algorithm. In the predicted time series

trend and seasonal term are predicted by Prophet

while the random term is replaced by the prediction output by XGBoost algorithm. The model proposed is easy to understand and requires only power load data

whose parameters can be adjusted by the analysts intuitively.The effectiveness of the forecasting method is proved by conducting experiments on the power load data obtained from power consumption information acquisition system. The result shows that the mean absolute percentage error of the forecasting result is reduced by up to 2.5% comparing with the original Prophet algorithm. At the same time

the root mean square error is reduced by up to 30.19%

which show its excellent improvement.