Abstract：The characteristics of basic load and meteorological load are analyzed in the paper firstly, the feature of summer weather would be classified by maximum temperature using historical meteorological data. Then the correlation coefficient method is used to screen out the meteorological indicators that is most relevant to the daily meteorological load, and the cumulative average temperature is chosen to predict meteorological load. Finally, the regression model is used to give the relationship between daily meteorological load and dominant meteorological indicators, and the maximum load forecast for 2019is given according to the different temperature conditions.
潘文虎, 夏友斌, 宋铭敏, 苏志朋, 赵倩. 基于累积平均气温模型的气象负荷预测[J]. 电气技术, 2020, 21(4): 67-70.
Pan Wenhu, Xia Youbin, Song Mingmin, Su Zhipeng, Zhao Qian. Meteorological load forecasting based on cumulative average temperature model. Electrical Engineering, 2020, 21(4): 67-70.
2020, Vol. 21 
