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Data-driven Power Flow Linearization - supplementary file

This paper presents a comprehensive review of existing data-driven power flow linearization (DPFL) experiments, detailing the capabilities and limitations of these experiments. Additionally, it provides an in-depth numerical examination of DPFL methods, complementing the theoretical insights explored in Part I and addressing the limited experimental work found in the existing literature.

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Cite this as

M. Jia, G. Hug, N. Zhang, Z. Wang, Y. Wang, C. Kang (2024). Dataset: Data-driven Power Flow Linearization - supplementary file. https://doi.org/10.57702/8nm9zn23

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2406.06833
Author M. Jia
More Authors
G. Hug
N. Zhang
Z. Wang
Y. Wang
C. Kang
Homepage https://drive.google.com/file/d/1jf7rB8iQS5IJZsq7fDwTl08ueBS2s1wk/view?usp=drive_link