Based on daily maximum power load in Shijiazhuang from 2017 to 2019 and meteorological data during the same period, the variation characteristic of daily maximum power load was analyzed. The correlation between variation of daily maximum power load and meteorological factors, air quality index (AQI) was also analyzed. The forecasting models of daily maximum power load variation in winter and summer were established by using stepwise regression, multiple linear regression and generalized additive model (GAM), the data of corresponding time in 2019 were taken as the independent test samples of forecasting effect. The results show that the daily maximum power load in Shijiazhuang had an obvious increasing trend from 2017 to 2019, and the correlation between variation of power load and factors had obvious seasonality. The factors which had a negative correlation with daily maximum power load variation in winter were positively correlated with daily maximum power load variation in summer, and vice versa. Among the three models, GAM model had the best prediction effect, and its forecast effect in summer was better than that in winter. In business application, GAM model with AQI could be selected in summer, and GAM model without AQI should be selected in winter.

Based on the data of transmission line icing accidents in Northern Hebei  Province and power microweather station observations from 2012 to 2015 provided by the power company, the characteristics of spatial and temporal distribution of transmission line icing accidents were analyzed. Meanwhile, the daily minimum temperature, maximum temperature, average relative humidity, average wind speed and daily precipitation were selected as forecast factors. The risk prediction model for transmission line icing was built and verified. The results show that transmission line icing accidents mostly occurred in mountainous areas in Northern Hebei Province and mainly from November to May of the following year. Different types of underlying surfaces corresponded to different types of ice accidents. More than 56% of icing flashover occurred in plain and the plateau on bam, and dancing mainly distributed in mountains and valleys. Most accidents occurred when minimum daily temperature ranged from -8 to 0 ℃, the maximum daily temperature ranged from -4 to 4 ℃, the average daily relative humidity was above 80%, and the average daily wind speed ranged from 1 to 3 m·s-1. The test results of prediction model of transmission line icing accidents showed that when transmission line icing accidents happened, the prediction results were all above level 2, and there was no false negatives, but there was a small false alarm rate.