Seamless Grid Following and Grid Forming Inverter Mode Transition Enabled by Machine-Learning based SCR Estimation and Smooth Switching Control

Rajamallaiah, A., Guerrero, J.P., Pavankumar, Y. orcid.org/0000-0001-9211-8337 et al. (4 more authors) (Accepted: 2026) Seamless Grid Following and Grid Forming Inverter Mode Transition Enabled by Machine-Learning based SCR Estimation and Smooth Switching Control. Scientific Reports. ISSN: 2045-2322 (In Press)

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Item Type: Article
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This is an author produced version of an article accepted for publication in Scientific Reports, made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Dates:
  • Accepted: 17 July 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Date Deposited: 31 Jul 2026 15:07
Last Modified: 31 Jul 2026 15:14
Status: In Press
Publisher: Nature
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