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Customer electricity demand identification method based on SVM algorithm

A technology of electricity demand and identification method, applied in the field of electric power, can solve the problems of reducing the accuracy of analysis and prediction, and unable to identify customers' electricity demand.

Pending Publication Date: 2020-10-13
卜晓阳
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Problems solved by technology

However, the above-mentioned technical solutions cannot identify customers' electricity demand, thereby reducing the accuracy of analysis and prediction

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  • Customer electricity demand identification method based on SVM algorithm

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Embodiment Construction

[0020] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0021] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0022] It should also be understood that the terminology used in the descri...

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Abstract

The invention relates to the technical field of electric power, and particularly discloses a customer electricity demand identification method based on an SVM algorithm, and the customer electricity demand identification method comprises the steps: obtaining the electricity demand information of a to-be-identified customer, and generating an electricity demand sample for storage; extracting a power demand sample for data analysis to obtain a training sample; performing SVM training on the at least one training sample based on an SVM algorithm to obtain an SVM model; receiving a customer electricity demand request and inputting the customer electricity demand request into the SVM model for identification to obtain identification data; and sharing the identification data after classification. According to the customer electricity demand identification method, data analysis is carried out on an extracted power demand sample based on an SVM algorithm to obtain a training sample; the training sample is trained through the SVM to obtain the SVM model; and then the customer power consumption demand request can be input into the SVM model for identification, so that the problem that the analysis and prediction accuracy is reduced due to the fact that the customer power consumption demand cannot be identified is solved.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for identifying customer electricity demand based on an SVM algorithm. Background technique [0002] Nowadays, with the continuous development of power technology and the continuous increase of electrical equipment, people's demand for electricity is also increasing. However, due to the large differences in electricity customers, there are also great differences in the electricity demand of different customers. Even for the same customer, the electricity demand in different time periods is also different. [0003] In order to ensure that power grid companies make more accurate plans for future power generation work, it is usually necessary to analyze and obtain data based on customer power demand, and use this as a basis to formulate power generation plans to meet the power demand of different customers. In the Chinese patent with the publication number CN106447...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/04G06Q10/06315G06Q50/06G06F18/2411G06F18/214
Inventor 卜晓阳赵郭燚王宗伟金鹏武鹏汪莉郑悦魏冰冉晶晶郭晓芸
Owner 卜晓阳