Power quotation method and terminal equipment
A technology for electricity and electricity trading, which is applied in market forecasting, instruments, data processing applications, etc., and can solve problems such as low quotation efficiency
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example 1
[0046] Example 1. First, the terminal device determines the first label marked by the staff of the power generation company for the first sample data, and determines the first label as the label corresponding to the first sample data; secondly, the terminal device determines The staff of the power generation company marks the second tag for the second sample data, and determines the second tag as the tag corresponding to the second sample data; finally, the terminal device determines that the staff of the power generation company is the third sample data An annotated third label, and determining the third label as the label corresponding to the third sample data.
example 2
[0047] Example 2. Suppose the preset historical time period is May 2018;
[0048] The terminal device extracts the historical transaction records of the enterprise's electric power in May 2018, the historical transaction records include at least the expected quotation of electric power and the actual transaction price of electric power; the terminal device determines the expected price of electric power as the sample data of May 2018 corresponding label.
[0049] It should be noted that, assuming that the plurality of sample data subsets in the clustering and dimensionality reduction processing steps include the first sample data subset and the second sample data subset, an implementation of step 104 may be as follows:
[0050] Step S1: Obtain a first label corresponding to the first sample data subset, and determine the first label as the label corresponding to each sample data in the first sample data subset;
[0051] Step S2: Obtain a second label corresponding to the seco...
example 3
[0064] Example 3. Assuming that the electricity transaction price includes: direct electricity purchase transaction price, then the label is used to represent the expected quotation for direct electricity purchase corresponding to the sample data, and step 106 may specifically be:
[0065] Based on the direct purchase electricity transaction price, the influencing factors corresponding to the direct purchase electricity transaction price, and the corresponding direct purchase electricity expected quotation, the quotation model is trained to predict the direct purchase electricity expected quotation at the target time.
[0066] Among them, the direct power purchase transaction price can be the power transaction price corresponding to the direct power purchase; the expected quotation of the direct power purchase can be the power expectation quotation corresponding to the direct purchase of electricity; The form of the transaction is to agree on the purchase amount and the purchas...
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