An ICA-Based Multivariate Discretization Algorithm

Author(s):  
Ye Kang ◽  
Shanshan Wang ◽  
Xiaoyan Liu ◽  
Hokyin Lai ◽  
Huaiqing Wang ◽  
...  
2019 ◽  
Author(s):  
Nurnisa Helmee ◽  
Yasmin Mohd Yacob ◽  
Zulkifli Husin ◽  
Mohd Farid Mavi ◽  
Tan Wei Keong

2004 ◽  
Vol 16 (2) ◽  
pp. 145-153 ◽  
Author(s):  
L.A. Kurgan ◽  
K.J. Cios

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Adrian M. Deaconu ◽  
Daniel T. Cotfas ◽  
Petru A. Cotfas

Some parameters must be calculated with very good accuracy for the purpose of designing, simulating, and evaluating the performance of a photovoltaic system. The seven parameters of the photovoltaic cell and panels for the two-diode model are determined using a parallelized metaheuristic algorithm based on successive discretization. The parameters obtained for a photovoltaic cell and four panels using the proposed algorithm are compared with the ones calculated through over twenty methods from recent research literature. The root mean square error is used to prove the superiority of the Parallelized Successive Discretization Algorithm (PSDA). The smallest values for root mean square error (RMSE) in both cases, photovoltaic cell and panels, are obtained for the algorithm presented in this paper. The seven parameters for three panels known in the specialised literature, Kyocera KC200GT, Leibold Solar Module LSM 20, and Leybold Solar Module STE 4/100 are determined for the first time using PSDA.


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