Dynamic comprehensive assessment of power development based on provincial data

Dynamic comprehensive assessment of regional power industry development levels is of paramount importance for understanding the development characteristics and potential of the local power industry. A tri-level evaluation index system is established, describing five aspects of the local power industry development level, specifically, the coordination degree between the power industry and economy/energy, power generation, power consumption, power supply and development potential. A combination of information entropy and the analytic hierarchy process (AHP) is used to establish a static evaluation model, and a blend of subjective opinions and objective data information is then realized. By aggregating the static evaluation model for each time period based on a time-ordered weighting vector calculated using time-ordered information entropy, a dynamic comprehensive evaluation model of power industry development level is established. By considering provincial data from China recorded during 2007 to 2016 as the sample set, through synchronic and diachronic comparisons of the evaluation results, the differences, characteristics and potential of local power industry development in China are explored.