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Filtering by: Contributor Engineering and Physical Sciences Research Council Contributor Bell, Keith Funder Engineering and Physical Sciences Research Council

Uncovering the predominant factors influencing the transient stability margin in power systems with increasing renewable generation using interpretable machine learning

Creator:

Hamilton, Robert

Date:

2022

Funder:

Engineering and Physical Sciences Research Council

Department, School or Faculty:

Department of Electronic and Electrical Engineering and Institute for Energy and the Environment

Uncovering the predominant factors influencing the transient stability margin in power systems with increasing renewable generation using interpretable machine learning

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