Electric Power ›› 2021, Vol. 54 ›› Issue (7): 1-10,26.DOI: 10.11930/j.issn.1004-9649.202007277

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Qinghai Energy Demand Forecasting and Development Strategy Research under the Background of Construction of Clean Energy Demonstration Province

LI Hongxia, ZHANG Xiangcheng, LI Fang, ZHANG Haining, LI Nan, MA Xue   

  1. Green Energy Development Research Institute, State Grid Qinghai Electric Power Company, Xining 810008, China
  • Received:2020-08-26 Revised:2021-01-30 Online:2021-07-05 Published:2021-07-12
  • Supported by:
    This work is supported by National Natural Science Foundation of China (Research on Mechanism Design and Simulation Models for Reducing Energy Waste of Clean Energy in China, No.71573084)

Abstract: In 2018, Qinghai Province was approved to build the National Clean Energy Demonstration Province and proposed the "Qinghai Province National Clean Energy Demonstration Province Work Plan (2018-2020)" in the same year. The work plan takes the greennesss, high efficiency and safety as the overall goal, and promotes the revolution in energy production and consumption, so as to make a contribution to the clean transition of China’s energy and the construction of a modern energy system. Under this background, a study is made on the Qinghai energy demand forecasting and clean development strategy under the background of clean energy demonstration province construction. Firstly, the paper analyzes the current status and challenges of clean energy development in Qinghai Province. Then, a DMDE-BPNN hybrid prediction model is established by optimizing the BP neural network prediction model with the double mutation differential evolution algorithm. By taking Qinghai Province as an example, the annual energy demand in typical years is forecasted, and some measures are proposed for the development of clean energy in Qinghai Province.

Key words: energy demand forecast, clean development strategy, DMDE-BPNN hybrid prediction model, national clean energy demonstration province