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Random forest-based power outage complaint risk prediction method

A risk prediction and random forest technology, applied in the field of electric power automation, can solve the problems that plague the customer service personnel of electric power enterprises, achieve a good social image and reduce the risk of customer calls

Inactive Publication Date: 2017-07-25
STATE GRID FUJIAN ELECTRIC POWER CO LTD +3
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Problems solved by technology

[0002] With the rapid development of social economy, enterprises and the public have higher and higher requirements for power supply reliability, but power outages still occur from time to time. How to accurately determine the sensitivity of users to power outages in the event of power outages, Provide reference for adopting different appeasement and guidance strategies, and reduce the risk of customer calls, which is a problem that plagues customer service personnel of electric power companies

Method used

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  • Random forest-based power outage complaint risk prediction method

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Embodiment Construction

[0016] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0017] In describing the present invention, it should be understood that the terms "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", The orientations or positional relationships indicated by "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present inventi...

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Abstract

The invention provides a random forest-based power outage complaint risk prediction method. The method comprises the steps of 100, obtaining a training set; 200, marking the classes of users in the training set; 300, pre-processing the training set; 400, subjecting the training set to feature selection; 500, executing the random forest algorithm, and determining a power outage complaint risk model; 600, obtaining a test set; 700, pre-processing the test set; 800, subjecting the test set to feature selection; 900, predicting the power outage sensitive category and the sensitivity of users. According to the technical scheme of the invention, the sensitive degrees of users on the power outage condition can be accurately judged, and then different pacifying and guiding strategies are conducted for reference. Therefore, the calling risk of users is reduced.

Description

technical field [0001] The invention relates to the field of electric power automation, in particular to a random forest-based power failure complaint risk prediction method. Background technique [0002] With the rapid development of social economy, enterprises and the public have higher and higher requirements for power supply reliability, but power outages still occur from time to time. How to accurately determine the sensitivity of users to power outages in the event of power outages, To provide reference for adopting different appeasement and guidance strategies, and to reduce the risk of customer calls is a problem that plagues customer service personnel of electric power companies. Contents of the invention [0003] In order to solve the above problems, the present invention provides a random forest-based power outage complaint risk prediction method, which is characterized in that it includes: [0004] Step 100: Obtain the user's power consumption information, whi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06
Inventor 徐鸣陈翔郭凛郑江华周昆邵晞卢燕燊杨颖秀高敏汪鸣宏蔡丽华陈鸿凌
Owner STATE GRID FUJIAN ELECTRIC POWER CO LTD
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