A power grid investment prediction index selection method based on grey relational degree
A grey correlation, power grid technology, applied in resources, instruments, data processing applications, etc., can solve problems such as inconsistency in calculation results, and achieve the effect of accurate application
Inactive Publication Date: 2019-05-28
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0004] At present, the calculation idea of the gray correlation degree used in the selection of indicators is to first calculate a gray correlation degree data for each time period or moment, and then average all the time periods or moments. This processing method will cover up two The local deviation characteristics of the curve, and in practical applications, when the deviation of the two curves is large, relatively similar results may be calculated, and the calculation results sometimes do not match the actual situation.
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[0028] figure 1 It is a flow chart of the specific implementation of the method for selecting the grid investment forecasting index based on the gray relational degree of the present invention. Such as figure 1 As shown, the specific steps of the grid investment prediction index selection method based on the gray correlation degree of the present invention include:
[0029] S101: Get data:
[0030] Obtain the power grid investment sequence Y={y(1),y(2),...,y(N)} for a certain period of time, and y(n) represents the nth time point t n , n=1,2,...,N, where N represents the number of time points. At the same time, set M grid parameters as grid investment indicators according to needs, and obtain M grid investment indicator sequences X i ={x i (1),x i (2),...,x i (N)}, where x i (n) indicates the nth time point t n When is the i-th power grid investment index value, i=1,2,...,M. In this embodiment, the power grid investment indicators include the maximum load of the whol...
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The invention discloses a power grid investment prediction index selection method based on a grey correlation degree. The method comprise the steps of firstly obtaining a power grid investment sequence and a power grid investment index sequence; respectively carrying out dimensionless processing; performing slope calculation on the obtained dimensionless sequence to obtain a slope vector; calculating the weight vector of each power grid investment index, multiplying the weight vector by the slope vector of the power grid investment index to obtain a weight slope vector, respectively calculating the similarity between the slope vector of the power grid investment and the weight slope vector of the power grid investment index, and selecting the power grid investment index with higher similarity as a prediction index. According to the method, the existing grey correlation degree is improved, so that the selected prediction index better conforms to the reality and can be more accurately applied to engineering practice.
Description
technical field [0001] The invention belongs to the technical field of grid investment forecast index selection, and more specifically relates to a grid investment forecast index selection method based on gray correlation degree. Background technique [0002] As a basic industry related to national livelihood, the electric power industry is an important support for my country's social and economic development. Due to the rapid development of society in recent years and the continuous improvement of electricity consumption in the whole society, the scale of power grid construction and investment is increasing. Power grid investment estimation is an important practical application project. How to improve the accuracy of investment estimation and how to make the grid investment strategy more scientific has not yet been well resolved. There are many factors simultaneously affecting the capital scale of the power grid construction investment project to be measured. There is unce...
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IPC IPC(8): G06Q50/06G06Q10/06
CPCY04S10/50
Inventor 凡时财吴占宁邹见效徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA