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New energy power prediction method and system based on integrated learning of multiple combined strategies

An integrated learning and power prediction technology, applied in the electric power field, can solve problems such as low prediction accuracy, achieve good power fluctuation characteristics, and improve power prediction accuracy

Active Publication Date: 2022-07-29
CHINA SOUTHERN POWER GRID DIGITAL GRID RES INST CO LTD
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  • Description
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Problems solved by technology

[0003] Based on this, it is necessary to provide a new energy power prediction method, system, device, computer equipment and computer-readable storage medium for the technical problem of low prediction accuracy existing in the above-mentioned new energy power prediction method

Method used

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  • New energy power prediction method and system based on integrated learning of multiple combined strategies
  • New energy power prediction method and system based on integrated learning of multiple combined strategies
  • New energy power prediction method and system based on integrated learning of multiple combined strategies

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Embodiment Construction

[0061] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0062] It should be noted that the terms "first", "second" and "third" in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe specific order or sequence. It is to be understood that data so used may be interchanged under appropriate circumstances so that the embodiments of the application described herein can be practiced in sequences other than those illustrated or described herein.

[0063] Each primary prediction model involved in this application will be desc...

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Abstract

The present application relates to a new energy power prediction method and system based on integrated learning of multiple combined strategies. The method includes: obtaining sample new energy data according to a target prediction object; the sample new energy data includes training new energy data and verification new energy data; obtain multiple primary prediction models through the training of the new energy data; perform integrated processing on the multiple primary prediction models through preset multiple integration instructions to obtain multiple integrated prediction models; For the performance index of the integrated prediction model, a target prediction model is determined from the plurality of integrated prediction models, and new energy power prediction is performed through the target prediction model. This method can improve the power prediction accuracy of new energy stations.

Description

technical field [0001] The present application relates to the field of electric power technology, and in particular, to a new energy power prediction method, system, device, computer equipment and storage medium based on integrated learning of multiple combined strategies. Background technique [0002] With the development of society, the demand for energy in daily life and production of human beings is increasing, and the energy on the earth is limited. Therefore, how to improve the utilization efficiency of energy and implement renewable energy alternative actions is the current main research direction. Among them, one of the foundations for absorbing a high proportion of renewable energy is to correctly predict the power of its power generation, while the existing new energy power prediction methods and prediction systems basically use the numerical weather forecast with larger granularity for prediction, and the prediction accuracy is It is not high enough to meet the ac...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08G06N20/20H02J3/00
Inventor 包涛李鹏姚森敬马溪原陈炎森陈元峰李卓环程凯周悦张子昊周长城
Owner CHINA SOUTHERN POWER GRID DIGITAL GRID RES INST CO LTD
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