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May 3, 20262 citations

Diffusion model-based parameter estimation in dynamic power systems.

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FZFeiqin ZhuDTD. TorbunovZJZhongjing Jiang

Key Points

  • This research aims to enhance parameter estimation in dynamic power systems using a diffusion model-based approach.
  • Utilized a diffusion model for parameter estimation in power systems.
  • Implemented a data-driven framework to address calibration and efficiency.
  • Analyzed the non-uniqueness problem in various scientific domains.
  • Demonstrated improved calibration efficiency compared to existing methods.
  • Mitigated issues related to the non-uniqueness problem of parameter solutions.

Abstract

, exhibiting comprehensive advantages in calibration and efficiency over existing methods. Given its data-driven nature, it provides a general framework for parameter estimation while effectively mitigating the non-uniqueness problem across scientific domains.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/69f6e6968071d4f1bdfc74d5https://doi.org/10.1038/s44172-026-00670-z
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