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Prediction model training method and device, prediction method and device, equipment and medium

A prediction model and training method technology, applied in the computer field, can solve problems such as large power load access, complex feature processing process, and inability to provide reference basis for power spot market transactions, and achieve high prediction accuracy, simple feature processing process, and accurate prediction Effect

Active Publication Date: 2020-04-07
BOE TECH GRP CO LTD
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AI Technical Summary

Problems solved by technology

[0004] For the above-mentioned algorithm used to predict the short-term power load of industrial enterprises, the feature processing process in the forecasting process is complicated, and the difference between the forecast result and the actual power load is large, which cannot provide a reference for the power spot market transaction

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  • Prediction model training method and device, prediction method and device, equipment and medium
  • Prediction model training method and device, prediction method and device, equipment and medium

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[0031] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the relevant disclosure, not to limit the disclosure. It should also be noted that, for ease of description, only the parts relevant to the disclosure are shown in the drawings.

[0032] It should be noted that, in the case of no conflict, the embodiments in the present application and the technical features in the embodiments can be combined with each other. The application will be described in detail below with reference to the accompanying drawings and examples.

[0033] The power load forecasting method provided in the embodiment of the present application is used for enterprise users in industrial production. In order to realize accurate prediction of the short-term power load of enterprise users in the future, the historical data of power load of enter...

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Abstract

The invention discloses a prediction model training method and device, a prediction method and device, equipment and a medium. The training method comprises the steps of obtaining a sequence value ofa historical power load and a plurality of influence factors corresponding to the sequence value; extracting power load characteristics and influence factor characteristics from the sequence values and the influence factors; and training a prediction model based on a CatBoost algorithm by using the power load characteristics and the influence factor characteristics, with the prediction model beingused for predicting the power load of the prediction target in the next time period. According to the embodiment of the invention, the power load characteristics and the influence factor characteristics are extracted from the obtained historical sequence values and the corresponding influence factors; and the extracted power load features and influence factor features are trained to obtain a prediction model, so that feature processing in the training process is simple, the prediction model obtained by training is accurate in short-term power load prediction of enterprise users, and a reliable basis is provided for power spot market transaction.

Description

technical field [0001] The present application generally relates to the field of computer technology, and in particular relates to a forecasting model training method, forecasting method, device, equipment and media. Background technique [0002] In the industry, the power load required by enterprise users in the production process is usually purchased from power sales companies based on medium and long-term power loads, and power sales companies report the future medium and long-term power consumption from the power generation side in advance. In practice, the short-term power demand of industrial enterprise users does not necessarily meet the pre-plan. At this time, electricity sales companies need to sell or supplement through the spot market to realize short-term power supply and demand balance. In the electricity spot market, with the increase of trading varieties, frequency increase, and more frequent price fluctuations, and under the new rules of "real-time market de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/067G06Q50/06Y04S10/50
Inventor 郝吉芳
Owner BOE TECH GRP CO LTD
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