Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Electric energy replacement potential mining method based on user information big data

A technology of electric energy replacement and user information, applied in data processing applications, electrical digital data processing, digital data information retrieval, etc., can solve problems such as changes, improve accuracy, reduce workload, and avoid the influence of uncertain factors Effect

Active Publication Date: 2021-11-02
国网内蒙古东部电力有限公司供电服务监管与支持中心 +2
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this process, the traditional method starts from the daily load curve, but in the actual operation process, due to the influence of the enterprise's shift system and production schedule, the daily load curve of the same type of enterprises will have a larger value at regular intervals. The change

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electric energy replacement potential mining method based on user information big data
  • Electric energy replacement potential mining method based on user information big data
  • Electric energy replacement potential mining method based on user information big data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In the process of mining electric energy substitution potential for enterprise users, and under the condition that the capacity and accuracy of potential mining are high, a good electric energy substitution potential mining algorithm must take into account the accuracy of potential user mining and the potential mining of user potential. , the emphasis of user substitution. The present invention uses the energy structure matrix of the enterprise user to replace the daily load curve of the enterprise and becomes an important indicator for measuring the electric energy substitution potential of the enterprise user. Starting from the user's equipment information, the equipment data is used to measure the size of the user's electric energy substitution potential, which avoids the influence of various uncertain factors brought about by the selection of the daily load curve. It improves the accuracy of potential user mining, predicts user potential mining, and realizes the foc...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an electric energy replacement potential mining method based on user information big data, and belongs to the technical field of power utilization energy efficiency and comprehensive energy. The invention aims to provide an electric energy substitution potential mining method based on user information big data, which is an important index for measuring the electric energy substitution potential of an enterprise user by replacing a daily load curve of the enterprise with an energy consumption structure matrix of the enterprise user. The method comprises the following steps: inputting information of users in a region needing electric energy to replace potential mining, calculating an energy consumption structure matrix of the user according to energy consumption equipment efficiency of different industries and equipment conversion capacity of each user, and obtaining an overflow effect factor and energy consumption structure similarity between the matrixes; and performing comprehensive evaluation according to the overflow effect factors of the users and the similarity of the energy consumption structures, and performing comprehensive ranking on the non-replaced enterprise users. According to the method, the accuracy of big data prediction is improved, the workload of actual investigation is reduced, and electric energy replacement potential mining based on user information big data is realized.

Description

technical field [0001] The invention belongs to the technical field of electricity energy efficiency and comprehensive energy. Background technique [0002] One method in mining the potential of electric energy substitution is to obtain the electricity consumption data of the enterprises to be replaced by electric energy through the power grid enterprises in the area where the enterprise users are located, and compare the daily load curves of the enterprises to be replaced by electric energy with the typical energy consumption curves of different industries to screen out Enterprises with high similarity of daily load curves are enterprises with great potential for electric energy substitution. Therefore, this method can excavate the electric energy substitution potential of enterprise users to a certain extent. [0003] The essence of this method of tapping the potential of electric energy substitution is a process of finding companies with similar energy consumption struct...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06Q10/06G06Q50/06
CPCG06F16/2465G06Q10/06393G06Q50/06Y02D10/00
Inventor 胡浩王冲李文杰石研李伟秦小强郑涛王巳腾张禄晞杨凤玖郭宝财萨初日拉刘婉莹胡博王雅晶王曦雯李吉平孙博文孙晨家韩瑞迪傅鹏张杰张政
Owner 国网内蒙古东部电力有限公司供电服务监管与支持中心
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com