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AI-based controller for grid-forming inverter-based generat..:

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

Issa, H. ; Debusschere, V. ; Garbuio, L... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.0701

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>AI-based controller for grid-forming inverter-based generators under extreme dynamics</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267497&Exemplar=1&LAN=DE
				
A1 Issa, H.
A1 Debusschere, V.
A1 Garbuio, L.
A1 Lalanda, P.
A1 Hadjsaid, N.
YR 2023
K1 convolutional neural nets
K1 distributed power generation
K1 invertors
K1 neurocontrollers
K1 power engineering computing
K1 power generation control
K1 power grids
K1 recurrent neural nets
K1 supervised learning
K1 synchronous generators
K1 AI model
K1 AI-based controller
K1 artificial intelligence-based controllers
K1 black start
K1 convolutional neural network
K1 fault occurrence
K1 gated recurrent unit
K1 grid-forming inverter-based generators
K1 GRU
K1 load variations
K1 short-term temporal sequence data
K1 simplified microgrid
K1 sliding window
K1 supervised learning approach
K1 three-phase-to-ground short circuit
K1 training dataset collection
K1 virtual synchronous generator controller
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.0701
DO https://doi.org/10.1049/icp.2023.0701
SF ELIB - SuUB Bremen

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