Data Mining Technique for Construction of Electric Power Marketing Inspection System

Quality of inspection in electric power marketing is significant for calculating power level in marketing management of power supply enterprises and complete reflection of processing outcomes and quality of service in power supply enterprises. The existing techniques causes less implementation impact of relative inspection process because of high scale power marketing information. In this research, proposed a development of electric power marketing inspection method depended on data mining technique. Data mining technique is utilized for analyzing power marketing information and less support and confidence are considered as measures to determine association relationship. Proposed method attained high inspection accuracy with minimum loss. The performance of proposed method is evaluated with performance measure of loss and accuracy. The proposed method attained the high inspection accuracy of 97.57% with minimum loss of 215.27 for 4 marketing information in power system which is superior than other existing methods like Robot Process Automation (RPA).