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Filtro per: Collaboratore Bell, Keith Collaboratore Engineering and Physical Sciences Research Council Tipo di risorsa http://purl.org/coar/resource_type/c_db06

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

Creatore:

Hamilton, Robert

Data:

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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