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The Study of Power Customer Classification Based on Data Mining

Author: WangChunYe
Tutor: WangJingMin
School: North China Electric Power University (Hebei)
Course: Management Science and Engineering
Keywords: Customer Segmentation Genetic Algorithms BP neural network Data warehouse Data Mining
CLC: F426.61
Type: Master's thesis
Year: 2009
Downloads: 119
Quote: 1
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Abstract


Segment for electricity customers , to help power companies to better understand customers for electricity customers to develop differentiated service strategy , the maximum extent to meet customer demand , to achieve company , customer win-win situation . Electricity customer segmentation model based on data mining , this article puts forward the idea of establishing a data warehouse for customer segmentation theme ; built based on the electricity customer value segments index system ; genetic algorithm optimization BP neural network algorithm for mining to address the presence of BP neural network fall into local minimum points and convergence slow ; Finally, the use of Matlab software , Baoding Electric Power Company customer data as the basis for customer segmentation , to verify the application of the model and effectiveness.

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