Electric power multi-objective decision support method based on intelligent data mining model

Abstract

The invention relates to an electric power multi-objective decision support method based on an intelligent data mining model. The method comprises the steps of enabling a decision maker to be clear on decision objectives and determine objective layers according to properties of practical problems; calculating all influence factors needing to be considered to achieve the objectives, performing induction and synthesis on the influence factors, and determining criterion layers; adopting a frequency statistical index screening method to perform mass election on all indexes under every criterion layer, and deleting indexes from which observed data cannot be obtained according to an observability principle; adopting the sum of deviation squares to cluster the indexes in every criterion layer; adopting a factor analysis method to analyze factor loads of every statistical index, reserving indexes with maximum factor loads in every kind of indexes, and screening out co-factor indexes between the multiple criterion layers; establishing decision models between indexes layers and the criterion layers on the basis of a multivariate regression analysis method; searching optimal balancing points between multiple criterions according to decision models of every criterion so as to achieve optimum of a final objective layer.

Description

technical field [0001] The invention relates to a method for supporting multi-objective decision-making of electric power, in particular to a method for supporting multi-objective decision-making of electric power based on an intelligent data mining model. Background technique [0002] Intelligent data mining is a statistical science, which studies how to statistically analyze data and extract relevant knowledge and laws that people want to obtain. Efficient data mining technology depends on a comprehensive and accurate data statistics system, as well as the mining methods selected in the data mining process. Therefore, establishing a scientific intelligent data mining model will play an important role in the decision support of enterprise development. [0003] The construction and operation of electric power enterprises have accumulated huge and complex statistical data. However, the knowledge information and potential laws contained in these data have not been fully disco...

AI Technical Summary

Problems solved by technology

For the processing of statistical data, the existing technology usually adopts the traditional data mining method. The traditional data mining method is to discover the pattern from a single relationship and a single target. The mining efficiency of statistical data is low, and the ability to extract useful information is limited. , and in the prior art, there are few researches on intelligent data mining models for statistical indicators and multi-objective decision support for power grids

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