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Machine learning based identification and mitigation of vul..:

, In: 27th International Conference on Electricity Distribution (CIRED 2023),

Venkatasubramanian, B. V. ; Lotfi, M. ; Mancarella, P.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.0985

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>Machine learning based identification and mitigation of vulnerabilities in distribution systems against natural hazards</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267013&Exemplar=1&LAN=DE
				
A1 Venkatasubramanian, B. V.
A1 Lotfi, M.
A1 Mancarella, P.
A1 Águas, A.
A1 Javadi, M.
A1 Carvalho, L.
A1 Gouveia, C.
A1 Panteli, M.
YR 2023
K1 decision making
K1 hazards
K1 power distribution reliability
K1 power engineering computing
K1 unsupervised learning
K1 adjacency-resource matrix
K1 distribution networks
K1 distribution system operators
K1 economic consequences
K1 expected energy not served
K1 hazard impact
K1 machine learning based identification
K1 mitigation stage
K1 mobile energy systems
K1 N-1/N-2 contingency security analysis
K1 natural hazard
K1 operational strategies
K1 Portuguese distribution system
K1 resilient operational decision-making
K1 social consequences
K1 stochastic approaches
K1 stochastic nature
K1 unsupervised machine learning algorithm
K1 vulnerable areas
K1 vulnerable nodes
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.0985
DO https://doi.org/10.1049/icp.2023.0985
SF ELIB - SuUB Bremen

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