Electric power price prediction method and device

A price forecasting and power price technology, applied in the energy field, can solve problems such as the inability to predict power prices, achieve the effects of shortening forecast calculation time, improving efficiency and accuracy, and using a low amount of data

Inactive Publication Date: 2020-05-01
XINAO SHUNENG TECH CO LTD
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  • Claims
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Problems solved by technology

[0003] In view of this, an embodiment of the present invention provides a method, device, terminal device, and computer-readable storage medium for predicting electricity prices, so as to solve the technical problem that electricity prices cannot be predicted quickly, conveniently, and accurately in the prior art

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  • Electric power price prediction method and device
  • Electric power price prediction method and device
  • Electric power price prediction method and device

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[0029] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail. All other embodiments obtained by those skilled in the art based on the described embodiments of the present invention belong to the protection scope of the present invention. Unless otherwise specified, the technical means used in the embodiments are conventional means well known to those skilled in the art.

[0030] It should be understood that when used in this specification and the appended cla...

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Abstract

The invention is suitable for the technical field of energy, and provides an electric power price prediction method and device. The method comprises the steps: obtaining historical data according to electric power transaction information, and the historical data comprises historical price data and influence factor data; processing the historical data to obtain a price prediction result and an influence factor prediction result; and processing a price prediction result and the influence factor prediction result by adopting an extreme gradient boosting method to obtain a prediction result of theelectric power price. By correcting the price prediction result, the prediction efficiency and accuracy are remarkably improved, the prediction calculation time is shortened, and meanwhile the methodhas the advantages of being high in data utilization rate and low in data usage amount. The method is simple in overall operation, guarantees the prediction accuracy, convenience and quickity, and saves the calculation resources.

Description

technical field [0001] The invention belongs to the field of energy technology, and in particular relates to a method and device for predicting power prices. Background technique [0002] With the continuous advancement of the power side reform, the power trading market is gradually taking shape. Transaction price is an important factor affecting the purchase and sale decision of power trading entities, so power price forecasting has attracted more and more attention. The current price prediction mainly adopts the traditional time series algorithm, so there are problems of low data utilization and inaccurate prediction; although the cyclic neural network can predict the electricity price, and has achieved a higher prediction effect on the test data set, but The calculation speed of the learning model obtained by this method is relatively slow, and the amount of data used is relatively large. In view of the above problems, there is an urgent need for a fast, convenient and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q50/06
CPCG06Q30/0206G06Q50/06
Inventor 赵蕾
Owner XINAO SHUNENG TECH CO LTD
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