As climate change warms the planet, extreme heat is a dangerous weather condition that is becoming more common and severe. In the summer of 2022, the record-breaking heat wave resulted in frenzied electricity demand and a hydropower production shrinkage in many regions, putting enormous pressure on power grids. In order to improve the climate resilience of power grids for extreme weather peaks, the correlation relationships between meteorological factors and electricity consumption and power load at the granularity of major electricity user types are investigated for the regions of Chongqing, Fujian, and Anhui in China. Utilizing univariate regression and corresponding metrics, we found that residential is the most temperature-sensitive user type (temperature sensitivity 17%-26%) and the largest contributor to meteorological electricity demand (44%-77%), while large industrial is insignificantly related to temperature (temperature sensitivity