Research on Data Fusion Technology in Output Forecasting of Cascade Hydropower Stations

The accuracy of output prediction of cascade hydropower stations is directly related to the rational distribution of water resources and the stable operation of power system. Through data fusion technology, power output can be predicted more accurately, so as to optimize reservoir operation and improve the utilization efficiency of hydropower resources. In view of this, an ARIMA model based on data fusion technology is proposed to study the output prediction of cascade hydropower stations at the junction of Hubei Province and Chongqing. Through the integration and analysis of hydrological, meteorological and load data, the model shows high prediction accuracy under different time scales, and provides effective technical support for the power load frequency division control of cascade hydropower stations.