The research on low-voltage load simulation and evolution method for distribution substations based on nonintrusive load monitoring

Mingyu Ou, Jiangnan Li and Renli Cheng

International Journal of Low-Carbon Technologies, 2025, vol. 20, 1153-1162

Abstract: Driven by the “Double Carbon” strategic goal and energy transformation, intelligent, and refined distribution networks are crucial for low-carbon power systems. Traditional load analysis methods fall short in handling diverse, low-power loads in distribution areas. This paper presents a comprehensive methodology utilizing nonintrusive load monitoring (NILM) technology, featuring an enhanced transformer-based load decomposition algorithm with multiscale feature extraction and dual-layer attention mechanisms. Additionally, we develop a load simulation model grounded in spatiotemporal correlations and a multifactor coupling evolution model for precise load prediction. Experimental results validate improvements in load decomposition accuracy, simulation fidelity, and evolution prediction reliability.

Keywords: nonintrusive load monitoring; transformer; load decomposition; load simulation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ijlctc:v:20:y:2025:i::p:1153-1162.

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