Novel load prediction method and device based on deep learning

A load forecasting and deep learning technology, applied in the power grid field, can solve the problems of low forecasting accuracy of power grid load forecasting methods, and achieve the effect of improving the forecasting accuracy.

Inactive Publication Date: 2018-05-08
STATE GRID BEIJING ELECTRIC POWER +1
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Problems solved by technology

[0006] The main purpose of the present invention is to provide a new load forecasting method and device based on deep learning to solve the problem of low forecasting accuracy of the grid load forecasting method

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  • Novel load prediction method and device based on deep learning
  • Novel load prediction method and device based on deep learning
  • Novel load prediction method and device based on deep learning

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[0024] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0025] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0026] It should be noted that the terms "first" and "second" in ...

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Abstract

The invention discloses a novel load prediction method and device based on deep learning. The method comprises the following steps that: obtaining the input variable of a power grid to be predicted, wherein the input variable is used for indicating the parameter of the power grid to be predicted; inputting the input variable into a trained power grid load prediction model for a model operation soas to obtain an operation result; and according to the operation result, determining the load of the power grid to be predicted. Through the method, an effect that the prediction accuracy of a power grid load prediction method is improved is achieved.

Description

technical field [0001] The present invention relates to the field of power grids, in particular to a novel load forecasting method and device based on deep learning. Background technique [0002] In recent years, with the rapid development of electric power technology, the society's appeal for low-carbon environmental protection is getting higher and higher, and the demand for smart electricity consumption is also gradually increasing. As one of the ways to realize intelligent power consumption, load forecasting plays a very important role in the refined operation of electric power enterprises. Load forecasting refers to referring to load-related factors, on the premise of knowing the user's electricity demand, and based on the user's historical load data, reasonably and accurately predicting the user's future load situation. The power grid organization reasonably arranges the start and stop of internal generator sets through accurate load forecasting, so as to ensure the s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/04
CPCG06Q10/04G06Q50/06G06N3/045
Inventor 李国昌宋玮琼赵成李蕊丁宁刘士峰武赫程诗尧张超李秀芳王芳孟颖
Owner STATE GRID BEIJING ELECTRIC POWER
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