Abstract
Digital currency extraction has become a popular activity in many countries since the increase of digital currency value in financial and economical exchanges in the world. The illegal usage of the digital currency extraction device (called a miner) is a big problem for utilities in many countries. The high energy consumption of miners is another problem that is critical for hot days and peak hours. In this paper, an efficient algorithm is proposed to recognize the miner's consumptions using the smart meter data mining. For this reason, the current consumption, power factor and power consumption are considered as the main parameters. Accurate analyses are performed for the miner's behaviour and some principal criterion are proposed to identify miner's consumptions. Moreover, the proposed algorithm is implemented to recognize miner's consumptions in Mashhad Electric Energy Distribution Company (MEEDC). The final results show the applicability and proper performance of the proposed solution in energy management and providing a new source of earning money for the utilities.
Published Version
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