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Digital twins used for condition assessment of transformer ..:

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

Fischer, B. ; Viereck, K. ; Hofmeister, C. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.0552

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>Digital twins used for condition assessment of transformer fleets - the challenges of turning data into reality</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267399&Exemplar=1&LAN=DE
				
A1 Fischer, B.
A1 Viereck, K.
A1 Hofmeister, C.
YR 2023
K1 asset management
K1 condition monitoring
K1 digital twins
K1 power engineering computing
K1 power system management
K1 power transformers
K1 academic research results
K1 accelerated asset ageing
K1 active network management
K1 AI insights
K1 condition assessment
K1 congestion management
K1 decentralized power generation
K1 digital representation
K1 digital transformer twin
K1 Digital twins
K1 Distribution System Operators
K1 DSO
K1 entire physical transformer life cycle
K1 peak load
K1 physical assets
K1 software capabilities
K1 strong ROI business case justification
K1 tight budgets
K1 transformer asset condition
K1 transformer fleets
K1 transformer life span
K1 unconventional demands
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.0552
DO https://doi.org/10.1049/icp.2023.0552
SF ELIB - SuUB Bremen

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