New energy short-term prediction system based on measured weather and network weather error correction

摘要

The new energy forecast will guide the adjustment of the future capacity plan in the new energy system. The stability of the macro-control of the power grid is highly dependent on the accuracy of energy generation power forecasting. Meanwhile, the trend of the source-source power of the system is highly dependent on a variety of weather conditions. The accuracy of the forecasting of the weather greatly affects the prediction accuracy of the system. The forecasting system uses the labview development platform visual programming method and the powerful storage capacity of the MYSQL database. To set up weather information in the region, it collects and stores multiple weather data in the weather information of the region and the system with adapting fuzzy processing method to analyze and extract data. The paper also uses numerical weight adjustment method to combine historical data, real-time data, and future data to obtain correction error for achieving corrections to future weather data. Therefore, the corrected weather data can be used as input data in combination with the final model for prediction.