Electric power spot market auxiliary transaction method based on neural network

Abstract

The invention discloses an electric power spot market auxiliary transaction method based on a neural network. The method comprises the following steps of (1) training a neural network model by utilizing historical declaration and clearing data, and simulating a relation between declaration amount and price and clearing amount and price in a single time period; (2) calculating a declarable electricquantity of each cooperative power plant on the declaration day in each time period; (3) generating a plurality of overall declaration schemes containing all cooperative power plants for the single time period; (4) sequentially inputting different declaration schemes in the single period into a neural network model, predicating the clearing price and the clearing amount corresponding to each declaration scheme by utilizing the neural network model, calculating a predicted income of each declaration scheme, and calculating a risk coefficient; (5), in combination with the predicted incomes andthe risk coefficients, finally selecting out the optimal declaration scheme in each time period; and (6) sending information of a declared amount and declared price pair ought to be selected by each cooperative power plant in the optimal declaration scheme in each time period to each power plant, thereby guiding each power plant to complete an electric power spot market declaration process.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows companies that want to sell their products or service on an electrical grid to offer advice about how they are going to make better use of this energy source than other sources like coal. It helps them get more money from doing businesses related to it while also improving their ability to compete against each others.

Problems solved by technology

This patented describes how artificial intelligence technology can help manage complex situations where multiple parties involved may want to trade off excess electrical capacity without paying any fees due to lack of trustworthiness during peak hours.

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