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A study of mid-to long-term distribution planning based on ..:

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

Cho, J. ; Kim, H. ; Ryu, H.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1075

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>A study of mid-to long-term distribution planning based on PV installation forecasting</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267049&Exemplar=1&LAN=DE
				
A1 Cho, J.
A1 Kim, H.
A1 Ryu, H.
A1 Lee, J.
A1 Kim, J.
A1 Son, Y.
A1 Choi, S.
YR 2023
K1 distributed power generation
K1 learning (artificial intelligence)
K1 load forecasting
K1 optimisation
K1 photovoltaic power systems
K1 power distribution planning
K1 power engineering computing
K1 power generation planning
K1 substations
K1 carbon neutral
K1 distributed generation forecasting
K1 distribution lines
K1 KEPCOs power distribution planning system
K1 machine learning
K1 mid-term-long-term distribution planning
K1 optimization algorithm
K1 photovoltaic installation forecasting method
K1 power substations
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1075
DO https://doi.org/10.1049/icp.2023.1075
SF ELIB - SuUB Bremen

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