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Robust identification algorithm for power load parameters b..:

, In: 3rd International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2023),

Diao, H. ; Guo, S. ; Shen, Y.. - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1854

RT 
T1 <cTitle>3rd International Symposium on Electrical, Electronics and Information Engineering (ISEEIE 2023)</cTitle>: T1 <Title>Robust identification algorithm for power load parameters based on measured ambient signals and modified SSA</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10324664&Exemplar=1&LAN=DE
				
A1 Diao, H.
A1 Guo, S.
A1 Shen, Y.
A1 Li, P.
YR 2023
K1 control engineering computing
K1 convex programming
K1 genetic algorithms
K1 induction motors
K1 iterative methods
K1 parameter estimation
K1 power engineering computing
K1 search problems
K1 time-varying systems
K1 conventional SSA
K1 convex optimization
K1 electric load
K1 fault disturbance
K1 genetic algorithm-based identification
K1 induction motor
K1 iterative termination
K1 load model
K1 load parameter identification method
K1 measured ambient signals
K1 modified SSA
K1 online identification requirements
K1 optimization-seeking algorithm
K1 random disturbances
K1 robust identification algorithm
K1 rotor motion equation
K1 sparrow search algorithm
K1 third-order state equation
K1 time-varying characteristics
K1 two-stage load power prediction model
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1854
DO https://doi.org/10.1049/icp.2023.1854
SF ELIB - SuUB Bremen

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