Prediction of Power Customer Demands Based on Deep Neural Network

doi:10.3969/j.issn.1006-2475.2020.05.004

Abstract

Abstract: Customer service of electric power enterprises is related to the vital interests of customers and the business benefits of enterprises. Improving the analyzing and understanding ability of the customer service system for group customers’ electricity consumption problems is one of the important ways to improve the quality of customer service for power industry. In order to solve the concentrated demand of power customers efficiently and pertinently, and achieve “before the customers think”, based on the deep neural network technology, this paper improves the traditional Chinese text segmentation technology and feature extraction method in the field of power, gives the method and flow of power customer demand pre-judgment, and verifies it through experiments. The proposed method can quickly and accurately classify the texts of power customer service order and excavate hidden customer power problems, which changes the service from passive to active and solves the potential demands of power customers at the first time.

Key words: deep neural network, customer demands forecast, power customer service order, text classification

CLC Number:

TP391

PENG Lu1, ZHU Jun2, ZOU Yun-feng2. Prediction of Power Customer Demands Based on Deep Neural Network[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2020.05.004.

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