Electric power package retail price prediction method and device, and storage medium

A price forecasting and power price technology, applied in market forecasting, instruments, data processing applications, etc., can solve the problems of being unable to take into account the influence, being easily affected by extreme values, and relying on power benchmark prices, so as to ensure benefits, improve stability and Good safety and stability

Pending Publication Date: 2022-01-21
昆明电力交易中心有限责任公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The benchmark price of electricity obtained by this method only depends on the average wholesale price and wholesale volume of a certain month, and is easily affected by extreme values. At the same time, it cannot take into account the historical changes in prices, nor can it take into account the impact of sudden factors in the social environment on it. influences

Method used

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  • Electric power package retail price prediction method and device, and storage medium
  • Electric power package retail price prediction method and device, and storage medium
  • Electric power package retail price prediction method and device, and storage medium

Examples

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Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the examples.

[0037] Those skilled in the art will understand that the following examples are only for illustrating the present invention and should not be considered as limiting the scope of the present invention. If no specific technique or condition is indicated in the examples, it shall be carried out according to the technique or condition described in the literature in this field or according to the product specification. The materials or equipment used are not indicated by the manufacturer, and they are all conventional products that can be obtained through purchase.

[0038] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said feature...

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Abstract

The invention relates to an electric power package retail price prediction method and device and a storage medium, and belongs to the technical field of electric power transaction. The method comprises the following steps: selecting related factors according to the correlation between the related factors and electric power prices; enabling the first prediction model to carry out the fitting of the selected related factors and the power price, and carrying out the weighted aggregation of the first prediction model, and forming a second prediction model; obtaining an optimal model according to the prediction results of the first prediction model and the second prediction model, and correcting the fitting error of the optimal model to form a final prediction model; and judging whether the final prediction model is reasonable or not, if so, predicting the power price of the power package according to the final prediction model, and if not, adjusting the selected related factors for re-modeling. According to the method, the electric power price of the electric power package is directly predicted, the stability is good, the price making of the electric power selling company is conveniently guided and supervised, the benefits of the electric power selling company and retail users are ensured, and the stability and the safety of market operation are improved.

Description

technical field [0001] The invention belongs to the technical field of power trading, and in particular relates to a retail price prediction method, device and storage medium of power packages. Background technique [0002] In the electricity trading market, the electricity sales company plays an intermediate role in connecting the wholesale market and the retail market, and the electricity price in the wholesale market will affect the final income of the electricity sales company. However, the electricity price in the wholesale market is fluctuating, and the retail price is fixed within a certain period of time. If the retail price is set unreasonably, it will lead to losses of electricity sales companies or retail users or unreasonable power consumption, which will lead to default or arrears , there is a transaction risk. How to more accurately predict the trend of electricity prices to guide electricity sales companies to set reasonable retail prices when making new pack...

Claims

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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 陈然赵伟华王帮灿张加贝丁文娇杨东源孙恒一王荣欣王睿琛蔡娜
Owner 昆明电力交易中心有限责任公司
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