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DBN-GRU-based short-term load forecasting for integrated en..:

, In: 12th International Conference on Renewable Power Generation (RPG 2023),

Wu, Z. ; Ying, H. ; Zhang, H.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.2498

RT 
T1 <cTitle>12th International Conference on Renewable Power Generation (RPG 2023)</cTitle>: T1 <Title>DBN-GRU-based short-term load forecasting for integrated energy campus considering dynamic coupling characteristics</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10324743&Exemplar=1&LAN=DE
				
A1 Wu, Z.
A1 Ying, H.
A1 Zhang, H.
A1 Siqin, Z.
A1 Xiao, L.
A1 Diao, R.
YR 2023
K1 belief networks
K1 deep learning (artificial intelligence)
K1 energy management systems
K1 learning (artificial intelligence)
K1 load forecasting
K1 power engineering computing
K1 recurrent neural nets
K1 actual campus dataset
K1 campus energy management system
K1 combined forecasting model
K1 DBN network
K1 DBN-GRU-based short-term load forecasting
K1 DBN-RELM
K1 Deep Belief Network
K1 deep learning algorithm
K1 demand balance
K1 different supplies supply
K1 dynamic coupling characteristics
K1 IES load
K1 integrated energy campus
K1 integrated energy systems
K1 key cornerstone
K1 load data
K1 multienergy demand
K1 multivariate load forecasting technology
K1 optimal bagging
K1 short-term multivariate load forecasting method
K1 stable operation
K1 strong randomness
K1 ultra-short-term multivariate load
K1 volatility
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.2498
DO https://doi.org/10.1049/icp.2023.2498
SF ELIB - SuUB Bremen

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