Total social electricity consumption prediction method based on industry economy and electricity relationship

Abstract

The invention provides a total social electricity consumption prediction method based on the industry economy and electricity relationship. According to the method, the economic data of fixed-asset investment, ferrous metal, chemical, nonmetal, non ferrous metal and equipment manufacturing industries in a researched area is acquired; the related-industry and living electricity data is acquired; the average temperature data is acquired; and an economic prediction model is established to carry out social electricity consumption prediction. Through the method, scientific and accurate prediction means is provided for yearly and shorter-than-a-year total social electricity consumption prediction, and the method is especially suitable for a present economic new normal state and the prone extreme-weather situation.

Description

technical field [0001] The invention relates to the technical field of power market demand prediction, in particular to a method for predicting electricity consumption of the whole society based on the relationship between industry economy and electricity consumption. Background technique [0002] Electricity market demand forecasting is an important basic work for energy authorities and power grid enterprises. Accurate power consumption forecast results can effectively support energy authorities to scientifically formulate power generation plans and power development plans, and support power grid enterprises to accurately formulate production plans and Business decisions. [0003] However, under the current economic new normal, the adjustment and upgrading of the industrial structure and the internal structure of the industry have been significantly accelerated, and various industries within the industry are also continuously intensifying the transformation and upgrading of...

AI Technical Summary

Problems solved by technology

[0004] Relevant scholars' research on power market demand forecasting mainly focuses on power load forecasting, while most of the power consumption forecasting still stays in the traditional forecasting methods such as GDP regression, output value unit consumption, and elastic coefficient. , because the focus is still on the perspective of each industry, it is no longer applicable to the current situation where the adjustment of industrial structure has been significantly accelerated, and the relationship between the economy and electricity consumption of various industries has undergone significant changes

Images