Abstract
Energy is an important support for the development of national economy. Accurate and convenient access to space-time dynamic information of energy consumption is of great significance for the rational formulation of energy policy. Based on the quantitative correlation between DMSP/OLS night lighting data and energy statistics, the spatial pattern of energy consumption in China from 2000 to 2013 was simulated at the prefecture-level scale. The results show that it is feasible to simulate energy consumption in different cities in China based on DMSP/OLS night lighting data, which can reliably reflect the temporal and spatial dynamics of energy consumption. This study provides a new method support for dynamic monitoring of energy consumption.
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