基于精准气象数据的地区电网短期负荷智能预测系统设计

Design of a Short-Term Load Intelligent Forecasting System for Regional Power Grid Based on Accurate Weather Data

基于分时分区精细化气象数据,研发地区电网短期负荷智能预测系统,实现功率曲线的日前精确预测。该系统的特点在于将网供负荷分解为多种功率分量的叠加,并针对各功率分量特点和影响因素,提供多种特征选择模式、预测方法以及历史参照日,以提高短期负荷预测的精度、自动化程度和工作效率。

Based on the time-zoned refined meteorological data,the regional power grid short-term load intelligent prediction system is developed to realize the accurate forecast of the power curve.The features of this system are to decompose the grid supply load into the superposition of various power components,and to provide a variety of feature selection modes,prediction methods and historical reference dates according to the characteristics and influencing factors of each power component,which improves the accuracy,automation and work efficiency of short-term load forecasting.