Spatial-temporal interaction analysis of provincial electricity load in China
Accurately understanding and analyzing the distribution characteristics and spatial trends of electricity are of great significance for electricity planning,energy management,and social sustainability.This study used spatial autocorrelation and exploratory spatial-temporal data analysis(ESTDA)to conduct an in-depth analysis of the spatial structure and interaction relationships of electricity load in different provinces of China from 2000 to 2021.The research findings are as follows:① From 2000 to 2021,there was a significant positive spatial correlation among electricity loads in provinces across the country,and this positive correlation has steadily strengthened year by year.② The local dynamic spatial patterns of electricity load across the country exhibit significant variations,with the northeast region having a more pronounced and unstable local spatial structure.③The variability of the electricity load in provinces across the country gradually weakens from the center to the periphery,indicating that the growth trend of the electricity load in provinces located in central areas is more easily influenced by other provinces.④ The growth of electricity load between neighboring provinces in China involves both competitive and cooperative growth relationships,but overall,cooperative growth predominates.
electricity loadexploratory spatial-temporal data analysis(ESTDA)local indicators of spatial association(LISA)time pathsspatial autocorrelationgeographic information system(GIS)
万方数据
维普
