Gradient-boosted tree based power outage complaint risk prediction method

A gradient boosting tree and risk prediction technology, applied in prediction, instrument, character and pattern recognition, etc., can solve problems such as negative impact on corporate image, troubles in normal operation of enterprises, and inability to classify power failure sensitive types for different users, so as to reduce power failure complaints volume, strong practicability, and the effect of improving service quality

Inactive Publication Date: 2017-09-29
FUZHOU UNIV
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Problems solved by technology

However, in the existing technology, power supply enterprises are mostly unable to classify the power outage sensitive types of different users, so as to adopt different appeasement and guidance strategies according to the sensitivity of different users to power outages, thus bringing a large number of power outage complaints and causing damage to the corporate image. Negative impact, causing troubles to the normal operation of the enterprise, and even deriving various legal disputes

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  • Gradient-boosted tree based power outage complaint risk prediction method
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  • Gradient-boosted tree based power outage complaint risk prediction method

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[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] The method for predicting the risk of power outage complaints based on the gradient boosting tree of the present invention, such as figure 1 As shown, it includes two processes of model training and model prediction, which specifically include the following steps:

[0045] Step A: Create a user electricity consumption information table, which includes user information, power outage information, and user power outage complaint information.

[0046] Step B: Preprocessing the user electricity consumption information data set in the user electricity consumption information table, specifically includes the following steps:

[0047] Step B1: Carry out data filling. In the entire model input wide table, for the enumerated type fields, use the default value filling method, that is, fill a preset default category respectively; for the...

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Abstract

The invention relates to a gradient-boosted tree based power outage complaint risk prediction method, which comprises the steps of A, building a user power utilization information table; B, performing preprocessing on user power utilization information data sets in the user power utilization information table; C, performing clustering on the user power utilization information data sets by adopting a Canopy algorithm and a KMeans algorithm, carrying out sensitivity category marking on the user power utilization information data sets through client portrait analysis, then performing data processing on unbalance distribution user power utilization information data sets through a SPARK based SMOTE oversampling algorithm; D, performing gradient-boosted tree training on the user power utilization information data sets, and acquiring a power outage complaint risk model; and E, predicting the power outage sensitivity category of a user by using the power outage complaint risk model. The method facilitates to accurately judge the sensitivity degree of different users for power outage so as to adopt different pacifying and guiding strategies and reduce the number of power outage complaints of the users.

Description

technical field [0001] The invention relates to the technical field of power failure complaint risk prediction, in particular to a method for power failure complaint risk prediction based on Gradient-boosted trees. Background technique [0002] At present, all kinds of customers, including enterprises and individuals, have continuously improved expectations for the quality of power supply services, and put forward higher requirements for service quality. However, in the existing technology, power supply enterprises are mostly unable to classify the power outage sensitive types of different users, so as to adopt different appeasement and guidance strategies according to the sensitivity of different users to power outages, thus bringing a large number of power outage complaints and causing damage to the corporate image. The negative impact will cause troubles to the normal operation of the enterprise, and even lead to various legal disputes. Contents of the invention [000...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06K9/62
CPCG06Q10/04G06Q10/0635G06Q50/06G06F18/23213
Inventor 陈羽中郭昆郭文忠陈培坤
Owner FUZHOU UNIV
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