Diffusion model-based parameter estimation in dynamic power systems
, 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.
Authors
- D. Torbunov (ORCID: https://orcid.org/0000-0003-0132-5344)
- Yihui Ren (ORCID: https://orcid.org/0000-0002-5750-6964)
- Feiqin Zhu
- Tianqiao Zhao (ORCID: https://orcid.org/0000-0001-6004-410X)
- Amirthagunaraj Yogarathnam
- Zhongjing Jiang
- Meng Yue
Institutions
- University of Illinois Urbana-Champaign (US)
- The University of Texas at Arlington (US)
- Brookhaven National Laboratory (US)
- Soochow University (CN)
Publication Details
- Journal
- Communications Engineering
- Published
- 2026-04-30
- DOI
- https://doi.org/10.1038/s44172-026-00670-z
- Citations
- 1
- Primary Topic
- Power System Optimization and Stability
- Type
- article
- Field-Weighted Citation Impact
- 10.29
Funders
- Brookhaven National Laboratory