Power grid investment calculation method and system based on grey relational analysis and medium

Abstract

The invention provides a power grid investment measurement and calculation method and system based on grey relational analysis and a medium, and the method comprises the steps: an alternative index set obtaining step: collecting external factors affecting the power demands from the aspects of macroeconomy, industrial structures and the output values of all industries, and forming the alternative index set; and a correlation degree analysis step: performing correlation degree analysis on the obtained alternative index set, and extracting an index which is greatly correlated with the annual income increasing electric quantity index of the company from the alternative index set as a key external influence factor. According to the invention, a gray correlation analysis method is adopted to extract key political and economic indexes of power grid investment; and power grid investment prediction is carried out by adopting multiple linear regression according to the extracted key factor quantitative indexes, so that decision errors caused by ignoring political economic and environmental changes only by virtue of a time sequence are avoided, and the proposed prediction method has very strong guidance and universality for different provincial companies.

Description

technical field [0001] The invention relates to the field of power grid demand forecasting, in particular to a grid investment measurement method, system and medium based on gray relational degree analysis. In particular, it involves the extraction of economic indicators of power demand, correlation analysis and forecasting of power grid investment demand. Background technique [0002] For the analysis of power grid investment demand, my country's macro-economy, industrial structure and output value of various industries are all important influencing factors. However, in the current research, only the combination optimization model and the time series model are used to predict the investment demand of the power grid, and the macroeconomic index factors are not considered. Therefore, it cannot reflect the close relationship between the development of the economic industry and the investment demand of the power grid and its impact on it. [0003] Patent document CN109214449A ...

AI Technical Summary

Problems solved by technology

However, in the current research, only the combination optimization model and time series model are used to predict the investment demand of the power grid, and macroeconomic indicators are not considered, so the close relationship between the development of the economic industry and the investment demand of the power grid and its impact cannot be reflected.

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