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《Journal of Southern Vocational Education》 2015-02
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Research on Intelligent Analysis System of Anti- electricity Leakage and Stealing Based on Neural Network

LUO Fang;LIN Sheng-zuo;PAN Guang-hui;Qingyuan Polytechnic;Guangdong Vocational College of Environmental Protection Engineering;Network Optimization Center of China Mobile Qingyuan Branch;  
Power industry is the most important basic energy industry in national economic development. Therefore strengthening the power supply management of the electric power industry and preventing the waste of power is of great significance to energy- saving and emission reduction. The paper presents the design of an intelligent analysis system of data mining for anti- electricity leakage and stealing based on neural network,and experimental results show that the scheme can achieve intelligent and scientific predictions on the incidents of electricity leakage and stealing,which provides intelligent analysis tools for the power companies, and technical support for their management,thus transforming passiveness into initiative in prevention of electricity leakage and stealing.
【CateGory Index】: TM73;TP183
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【Citations】
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【Co-citations】
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