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Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things

A power Internet of Things, multi-source data technology, applied in the field of information fusion, can solve the problems of high communication pressure, low communication cost, reduce data transmission and other problems, achieve the effect of alleviating the pressure and avoiding large-scale transmission

Pending Publication Date: 2022-04-01
STATE GRID INFORMATION & TELECOMM GRP
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Problems solved by technology

[0005] In order to solve the problems of high communication pressure and high communication cost in the prior art, this application provides a deep learning electricity price prediction method and device for multi-source data fusion of the Internet of Things, which has the advantages of reducing data transmission and lower communication costs, etc. features

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  • Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things
  • Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things
  • Deep learning electricity price prediction method and device based on multi-source data fusion of power internet of things

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[0040] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0041] refer to figure 1 As shown, the embodiment of the present application provides a deep learning electricity price prediction method for multi-source data fusion of the Internet of Things, the method specifically includes the following steps:

[0042] 101. Obtain the predicted electricity price of each region in the target area for a preset time period, wherein the predicted electricity price is obtained by predicting the corresponding historical electricity price data set with...

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Abstract

The invention relates to a deep learning electricity price prediction method and device based on electric power Internet of Things multi-source data fusion, and the method comprises the steps: obtaining the predicted electricity price of each region in a target region in a preset time period, and enabling an electricity price prediction model disposed in each region in advance to carry out the prediction of a corresponding historical electricity price data set, thereby obtaining the predicted electricity price; then acquiring a historical power load mean value of each region; carrying out fusion weight calculation on the historical power load mean value to obtain a fusion weight corresponding to the historical load mean value of each region; and performing fusion calculation on the predicted electricity price based on the fusion weight to obtain a final predicted electricity price in the preset time period. The electricity price is predicted through fusion calculation, large-scale transmission of data is avoided, and the pressure on communication bandwidth and corresponding computer resources can be effectively relieved.

Description

[0001] This application claims the priority of the Chinese patent application with the application number 202111469258.2 and the title of the invention "Deep Learning Power Price Prediction Method and Device for Multi-source Data Fusion of Electric Power Internet of Things" submitted to the China Patent Office on December 03, 2021, the entire content of which Incorporated in this application by reference. technical field [0002] This application belongs to the field of information fusion technology, and specifically relates to a deep learning electricity price prediction method and device for multi-source data fusion of the Internet of Things. Background technique [0003] At this stage, electricity prices in most regions are fixed rather than dynamic and real-time, which can easily cause imbalances in power consumption regions and time. It plays an important role in ensuring the safety and stability of the power system to deal with the occurrence of power shortage or surpl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06Q10/04G06Q50/06G06N3/04G06N3/08G06K9/62
Inventor 李温静陈智鹏张楠刘柱黄文思罗义旺林燊刘青刘迪王川江邹枫郭文静陈严炜潘隆吴国猛
Owner STATE GRID INFORMATION & TELECOMM GRP
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