Electric Power ›› 2017, Vol. 50 ›› Issue (12): 22-26.DOI: 10.11930/j.issn.1004-9649.201708230

• Electricity and Economy • Previous Articles     Next Articles

Correlation Analysis on Economic Indicators and Electric Power Demand of Liaoning Province

DENG Xinyang, JIANG Lei, LI Yongrui, YU Haiyang   

  1. 1. State Grid Liaoning Electric Power Company Limited Economic Research Institute, Shenyang 110015, China;
    2. State Grid Liaoning Electric Power Company Limited, Shenyang 110004, China
  • Received:2017-08-15 Online:2017-12-20 Published:2018-01-30
  • Supported by:
    This work is supported by the Science and Technology Project of SGCC (No.5222JJ17000X) and the Science and Technology Project of State Grid Liaoning Elcetric Power Company (No.5222JJ170010).

Abstract: Electric power plays an increasingly important role in economic development. It is important for accurate power demand prediction to understand the interaction between electric power demand and economic growth. Based on the economic development and electric power demand of Liaoning Province during 2005-2016, this paper analyzes the influence of economic structure adjustment on electric power demand. The data of main economic indicators of Liaoning Province are selected for a correlation analysis of electric power demand. Such strong correlation indicators as public financial expenditure budget, gross domestic product (GDP) and total freight volume are used to establish a forecasting model of total electricity consumption by using the ridge regression analysis method, and the electric power demand of Liaoning Province during the 13th Five-Year Plan period (2016-2020) is predicted, which can provide the basis for the decision-making of government departments and the power supply companies.

Key words: economic indicators, electric power demand, regression analysis, prediction

CLC Number: