The intelligent identification method plays a very important role in the identification of segmented line loss in low-voltage power grid, but there is a problem that the identification results are inaccurate. The traditional line loss identification method cannot solve the problem of intelligent identification method of segmented line loss identification of low-voltage power grid, and the recognition rate is low. In modern power system management, accurate identification and location of line losses in low-voltage distribution network has always been a key challenge to improve energy efficiency and reduce operating costs.
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Jiang et al. (2024) studied this question.
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