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Intelligent recognition method for collusion behaviors of power generation enterprise based on VAEGMM model

An intelligent identification and enterprise technology, applied in neural learning methods, biological neural network models, business, etc., can solve problems such as the imbalance of positive and negative samples of quotation data, achieve the effect of preventing transaction risks, ensuring fairness, and improving operating efficiency

Active Publication Date: 2021-09-03
LANZHOU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

In fact, the quotation data of power generation companies has the characteristics of unbalanced positive and negative samples, and the expression network cannot get good results by using ordinary linear dimensionality reduction.

Method used

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  • Intelligent recognition method for collusion behaviors of power generation enterprise based on VAEGMM model
  • Intelligent recognition method for collusion behaviors of power generation enterprise based on VAEGMM model
  • Intelligent recognition method for collusion behaviors of power generation enterprise based on VAEGMM model

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Embodiment Construction

[0090] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0091] A method for intelligent identification of collusive behavior of power generation enterprises based on VAEGMM model, comprising the following steps:

[0092] S1. Using the four three-stage quotation data in the centralized bidding of a provincial power market as the original data and in and Respectively represent the declared electricity price and declared electricity of the i-th power generation company in the j-section;

[0093] S2. Construct a collusion identification index system for power generation companies. The indicators include: the average value of the declared electricity market share, the consistency of quotations, the consistency of declared electricity, the ratio of the difference area of ​​quotation curves, the average value of quotation security, the average value of relative quotations, and t...

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Abstract

The invention discloses an intelligent recognition method for collusion behaviors of power generation enterprises based on a VAEGMM model in the field of power market subject risk recognition method design. According to the invention, the collusion identification index system of the power generation enterprise and the unsupervised learning algorithm VAEGMM are combined to realize real-time monitoring of the collusion behaviors of the power market. The method comprises the following steps: firstly, acquiring original declared electric quantity and declared electricity price data of a power generation enterprise, and constructing a perfect power generation enterprise collusion identification index system according to collusion behavior types; by a detailed index measurement and calculation method, calculating data suitable for intelligent algorithm training; and finally,for characteristics of the data, developing a VAEGMM algorithm to cluster the data, and effectively separating collusion samples. According to the untelligent recognition method for collusion behaviors of the power generation enterprise based on the VAEGMM model, the collusion behavior of the power generation enterprises in the power market can be quickly and accurately recognized, and the invention has important significance in preventing the transaction risk of the power market and improving operation efficiency of the power market.

Description

technical field [0001] The invention belongs to the field of risk identification method design of main body in electric power market, and in particular relates to an intelligent identification method of collusion behavior of power generation enterprises based on VAEGMM model. Background technique [0002] As the reform of the electricity market continues to deepen, all sectors of society have focused on the construction of a regulatory system for the electricity market. In the electricity market, each power generation or electricity buying enterprise has more or less certain market power, and market power is the most important factor for fair competition in the polluting market. Among them, collusion is one of the most important forms in which various market players in our country use market power to violate regulations. Research on the identification method of collusive behavior of power generation enterprises is conducive to improving the supervision level of the power su...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q30/06G06Q50/06G06N3/08
CPCG06Q30/0185G06Q30/0611G06Q50/06G06N3/08Y04S10/50Y04S50/10Y02E40/70
Inventor 王文婷张明光张鹏翔陈大为
Owner LANZHOU UNIVERSITY OF TECHNOLOGY
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