User classification method and system based on power retail data

A technology of power users and classification methods, applied in data processing applications, market data collection, computer components, etc., can solve the problems of lack of methods and systems for classification management, reduce user management and operating costs, and stabilize clustering effects Reliable, well-documented effects

Pending Publication Date: 2022-05-06
昆明电力交易中心有限责任公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the current trading environment, electricity sales companies classify users mainly based on power consumption capacity into large industrial users and general industrial and commercial users, and there is a lack of methods and systems for classified management based on user consumption characteristics

Method used

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  • User classification method and system based on power retail data
  • User classification method and system based on power retail data
  • User classification method and system based on power retail data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] A user classification method based on electricity retail data, comprising the steps of:

[0067] Step (1), according to the user authorization information, obtain the transaction power Q, transaction price P and actual power consumption E of N power users with the electricity sales company within a certain research period;

[0068] Step (2), calculate the user transaction amount M and the absolute value of the deviation power T:

[0069] M=Q×P

[0070] T=|E-Q|

[0071] Step (3), normalize the transaction amount and the absolute value of the deviation power, and map it to the range of [0, 1];

[0072] Step (4), based on the normalized transaction amount and the absolute value data of the deviation electricity, use the elbow method to determine the category quantity K of power users;

[0073] Step (5), according to the normalized transaction amount and the absolute value data of the deviation power and the user category K, use the K-means algorithm to cluster the N pow...

Embodiment 2

[0084] A user classification method based on electricity retail data, comprising the steps of:

[0085] Step (1), according to the user authorization information, obtain the transaction power Q, transaction price P and actual power consumption E of N power users with the electricity sales company within a certain research period;

[0086] Step (2), calculate the user transaction amount M and the absolute value of the deviation power T:

[0087] M=Q×P

[0088] T=|E-Q|

[0089] Step (3), normalize the transaction amount and the absolute value of the deviation power, and map it to the range of [0, 1];

[0090] Step (4), based on the normalized transaction amount and the absolute value data of the deviation electricity, use the elbow method to determine the category quantity K of power users;

[0091] Step (5), according to the normalized transaction amount and the absolute value data of the deviation power and the user category K, use the K-means algorithm to cluster the N pow...

Embodiment 3

[0109] Such as figure 1 As shown, a user classification system based on electricity retail data, including:

[0110] The back-end data acquisition module 101 is used to acquire the user's transaction power, transaction price and actual power consumption data within a certain research period;

[0111] The back-end data processing module 102 is used to calculate the user's transaction amount and the absolute value of the deviation power according to the data obtained by the back-end data acquisition module 101, and perform normalization processing on the transaction amount and the absolute value of the deviation power to obtain the standardized The transaction amount and the absolute value data of the deviation electricity; and then adaptively determine the category number K of power users according to the elbow method;

[0112] The back-end data classification module 103 is used to implement user classification according to the standardized data obtained by the back-end data p...

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Abstract

The invention relates to a user classification method and system based on power retail data, and belongs to the technical field of power retail transaction systems. The system comprises a back-end data acquisition module, a back-end data processing module, a back-end data classification module, a back-end data grading module, a middle-end user management module, a middle-end user marketing module, a middle-end package design module, a front-end user information authorization module, a front-end user information receiving module and a front-end user package viewing module. And a front-end user electricity purchase transaction module. According to the method, the power transaction data of the user is mined, the transaction behaviors of the user are classified, and the method is used for helping a power selling company reasonably design a retail package and performing user management in a classified manner. The system is novel in thought, the method is reasonable and efficient, the market operation efficiency of an electricity selling company is improved, the user management cost of the electricity selling company is reduced, and effective technical support is provided for user classification of an electricity retail transaction platform.

Description

technical field [0001] The invention belongs to the technical field of electricity retail transaction systems, and in particular relates to a user classification method and system based on electricity retail data. Background technique [0002] Under the new round of power system reform, the electricity retail transaction business has developed along with the trend, and the electricity retail transaction platform has emerged as the times require. The electricity retail company and retail users conduct electricity retail transactions through the platform, which not only improves the cumbersome process of traditional offline transactions, but also enhances the transaction data. The intensive capabilities provide the basic conditions for the digital management of electricity retail transactions. In electricity retail transactions, on the one hand, electricity sales companies trade with power users to obtain income; on the other hand, they undertake the user's deviation power man...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q50/06G06K9/62
CPCG06Q30/0201G06Q50/06G06F18/23213G06F18/24137
Inventor 孙田旭丁文娇杨东源刘斌王帮灿马高权谢蒙飞杨喆麟李岚欣贾毓功
Owner 昆明电力交易中心有限责任公司
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