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Method and device for predicting electrical load characteristics of user

A technology of electricity load and prediction method, which is applied in the field of user's electricity load feature prediction, and can solve the problems of lack of time dimension connection and expansion.

Pending Publication Date: 2022-05-06
CHINA ELECTRIC POWER RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Common electricity load analysis mostly refers to single-day or annual electricity load data, which lacks connection and expansion in the time dimension, and the profile of users also stays in simple clustering based on electricity consumption indicators, and abnormal users are often checked manually accomplish

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  • Method and device for predicting electrical load characteristics of user
  • Method and device for predicting electrical load characteristics of user
  • Method and device for predicting electrical load characteristics of user

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] See attached figure 1 , figure 1 It is a schematic flowchart of the main steps of the user's electricity load feature prediction method according to an embodiment of the presen...

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Abstract

The invention relates to the technical field of power utilization data analysis, and particularly provides a user power utilization load characteristic prediction method and device, and the method comprises the steps: obtaining the power utilization load data of a user, and aggregating the power utilization load data into power utilization load data according to a preset time scale; and inputting the electrical load data according to the preset time scale into a pre-constructed multi-scale time sequence analysis model, and obtaining an electrical load characteristic curve prediction result of the user output by the pre-constructed multi-scale time sequence analysis model. The technical scheme provided by the invention aims to make full use of massive and multivariate user power consumption data brought by power industry informatization for analysis and prediction, so that a power grid system can more accurately grasp a power consumption mode and power consumption characteristics, and the whole power grid system is more intelligent, efficient and reliable.

Description

technical field [0001] The invention relates to the technical field of electricity consumption data analysis, and in particular to a method and device for predicting user's electricity load characteristics. Background technique [0002] With the continuous improvement of the informatization level of the power industry and the rapid popularization of smart grids, the power load data presents a trend of diversification and massiveization. Power load analysis and power user profiling have become the focus of attention in the power industry. [0003] Common electricity load analysis mostly refers to single-day or annual electricity load data, which lacks connection and expansion in the time dimension, and the profile of users also stays in simple clustering based on electricity consumption indicators, and abnormal users are often checked manually accomplish. How to analyze the power load from multiple time dimensions, grasp more accurate user power consumption patterns, and aut...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06F30/27G06N3/04G06N3/08G06F119/10G06F119/12
CPCG06Q10/04G06Q50/06G06F30/27G06N3/08G06F2119/10G06F2119/12G06N3/044Y02E40/70Y04S10/50Y04S50/16
Inventor 刘科研盛万兴孟晓丽贾东梨叶学顺何开元王帅康田园
Owner CHINA ELECTRIC POWER RES INST