Mining behavior detection method based on electric power data and storage medium

• Main Authors: LIN JUNJIE, GAO WEI, ZHANG HAORUI, CHEN QIUJUAN, WANG LIENA
• Format: Patent
• Language: Chinese; English
• Published: 07.03.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a mining behavior detection method based on electric power data and a storage medium. The method comprises the following steps: B, for an electricity consumption sequence of an electricity consumer of which the daily average electricity consumption is greater than a mining electricity consumption standard in n days, if the fluctuation of the electricity consumption sequence is judged to be less than a preset fluctuation degree, marking R1 of the electricity consumer as abnormal; c, if the deviation degree L between the generating capacity of the power plant associated with the electricity consumer and the grid-connected electric quantity is abnormal and power generation is abnormal, marking the R2 of the electricity consumer as abnormal; d, identifying the electricity users with abnormal electricity consumption by using the similarity of the electricity consumption and the electricity consumption proportion in the three electricity consumption time periods of peak, valley and flat, and