Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Power retail user viscosity analysis method and system oriented to power selling company

A technology of user viscosity and analysis method, applied in the field of electricity trading, can solve the problem of lack of electricity retail user viscosity analysis method, and achieve the effect of promoting healthy competition, sustainable and healthy development, and improving service level

Active Publication Date: 2021-06-11
昆明电力交易中心有限责任公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the lack of a scientific and effective viscosity analysis method for electricity retail users facing electricity sales companies under the background of the current domestic electricity marketization reform, and provides an electricity retail user viscosity analysis method and system for electricity sales companies

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
  • Power retail user viscosity analysis method and system oriented to power selling company
  • Power retail user viscosity analysis method and system oriented to power selling company
  • Power retail user viscosity analysis method and system oriented to power selling company

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0086] A method for analyzing the viscosity of electricity retail users for electricity sales companies, including:

[0087] Step (1), constructing a data set: select the data of m months before the time point to be calculated as historical data, and then p monthly data as the prediction interval;

[0088] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;

[0089] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is w=(ω 0 , ω 1 ,...,ω n ); n=5;

[0090] The viscosity calcul...

Embodiment 2

[0100] A method for analyzing the viscosity of electricity retail users for electricity sales companies, including:

[0101] Step (1), build the data set: select m before the time point to be calculated monthly data As historical data, after p monthly data as the prediction interval;

[0102] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;

[0103] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is w=(ω 0 , ω 1 ,...,ω n ); n=5;

[0104] The viscosity calculation model ...

Embodiment 3

[0120] Step (1), build the data set: select m before the time point to be calculated monthly data As historical data, after p monthly data as the prediction interval;

[0121] Step (2), calculate the correlation factor: calculate the power price factor x provided by the electricity sales company separately 1 , historical service satisfaction factor x 2 , Power retail user behavior factors x 3 , Credit evaluation factors of electricity sales companies x 4 and comprehensive strength factors of electricity sales companies x 5 ;

[0122] Step (3), build a viscosity calculation model: add a 0th dimension x 0 =1, according to the result obtained in step (2), obtain the augmentation factor vector x=(x 0 , x 1 ,...,x n ), and the corresponding construction augmented weight vector is W=(ω 0 , ω 1 ,...,ω n ); n=5;

[0123] The viscosity calculation model is as follows:

[0124]

[0125] Step (4), model parameter solution: m obtained in step (1) indivual Sample data, ...

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 relates to an electricity selling company-oriented electricity retail user viscosity analysis method and system, and belongs to the technical field of electricity transaction. The system comprises a data set construction module, a correlation factor calculation module, a viscosity calculation model construction module, a model parameter solving module, a viscosity matrix acquisition module and the like. Through the viscosity calculation model, the viscosity between any power retail user and any power selling company can be calculated. According to the method, an important reference basis is provided for the electricity selling company to maintain the electricity retail customer relationship, the electricity selling company is effectively promoted to continuously improve the service level, and then benign competition and sustainable and healthy development of the electricity market are promoted.

Description

technical field [0001] The invention belongs to the technical field of electric power trading, and in particular relates to a method and system for analyzing the viscosity of electric power retail users facing electric power retail companies, which can dynamically calculate and obtain the power retail users' choice of electric power retail companies as power purchase service providers within a certain period of time in the future probability. Background technique [0002] Under the background of domestic electricity market reform, electricity retail companies play the role of electricity retailers, and some electricity users directly purchase electricity through electricity retail companies, and these users are electricity retail users. The core business of electricity sales companies is to develop electricity retail users to sell electricity to obtain income. Therefore, analyzing the viscosity of electricity users is of great significance for electricity sales companies to ...

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
IPC IPC(8): G06Q50/06G06Q10/06G06Q30/02G06F17/12
CPCG06Q50/06G06Q10/067G06Q30/0201G06Q30/0202G06Q10/06393G06F17/12
Inventor 赵伟华陈然蔡华祥张加贝孙恒一高航邹贤张茂林王帮灿丁文娇
Owner 昆明电力交易中心有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products