Daily rolling matchmaking transaction auxiliary decision-making method and system based on psychological anticipated price
An auxiliary decision-making and price technology, applied in information technology support systems, data processing applications, instruments, etc., can solve problems such as poor returns, poor real-time performance, uncontrollable price fluctuation risks, etc., to improve decision-making efficiency and maximize economic benefits , the effect of avoiding the risk of invalid declaration
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[0036] It should be noted that the structures, proportions, sizes, etc. shown in this specification are only used to cooperate with the content disclosed in the specification for the understanding and reading of those familiar with this technology, and are not used to limit the conditions for the implementation of the present invention , any modification of structure, change of proportional relationship or adjustment of size shall still fall within the scope covered by the technical content disclosed in the present invention without affecting the effect and purpose of the present invention. .
[0037] At the same time, terms such as "upper", "lower", "left", "right", "middle" and "one" quoted in this specification are only for the convenience of description and are not used to limit this specification. The practicable scope of the invention and the change or adjustment of its relative relationship shall also be regarded as the practicable scope of the present invention without...
Embodiment 1
[0039] Such as figure 1 As shown, the daily rolling matching trading assistant decision-making method based on the psychologically expected price, the method includes:
[0040] Obtain the first historical data of market players on the power generation side;
[0041] Inputting the first historical data into a preset forecasting model, and processing to obtain clearing data before the forecast date on the execution day;
[0042] Obtain the second historical data of daily rolling matching transactions in the whole market;
[0043] For the second historical data, refer to the preset declaration strategies of other market entities, and process and obtain the psychologically expected price data of the current declaration period;
[0044] Using the clearing data before the forecast date of the execution date and the psychologically expected price data of the current declaration period, establish the income model of the main body of the power generation side market;
[0045] For th...
Embodiment 2
[0062] Preparation:
[0063] Statistics on the medium and long-term contracts held: when conducting daily rolling matching transactions, the medium and long-term contract electricity and corresponding contract revenues held by the main body of the power generation side (including inter-provincial transactions, intra-provincial unlisted transactions, intra-provincial contract transfer transactions, Monthly centralized bidding transactions, monthly rolling matching transactions, ten-day centralized bidding transactions, and ten-day rolling matching transactions) can be obtained through statistics.
[0064] Prediction of the day-ahead electricity price: The present invention predicts the day-ahead electricity price through a prediction model based on the historical day-ahead electricity price and load rate data of the market entities on the power generation side. The specific prediction model is an LSTM model based on the similar day method.
[0065] Forecast base electricity: Si...
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