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pro vyhledávání: '"S. Mohammadreza Ebrahimi"'
Autor:
Maryam Naeijian, Abolfazl Rahimnejad, S. Mohammadreza Ebrahimi, Nafiseh Pourmousa, S. Andrew Gadsden
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 4047-4063 (2021)
The significant global trend towards solar energy has led to the development of studies on the fabrication of high-performance solar cells. Accurate modeling and parameter identification of solar cells is of paramount importance. So far, several mode
Externí odkaz:
https://doaj.org/article/6c6a67eb85b2490491a62319b747daf2
Publikováno v:
Journal of the Franklin Institute. 360:223-250
Autor:
S. Mohammadreza Ebrahimi, Maryam Naeijian, Abolfazl Rahimnejad, S. Andrew Gadsden, Nafiseh Pourmousa
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 4047-4063 (2021)
The significant global trend towards solar energy has led to the development of studies on the fabrication of high-performance solar cells. Accurate modeling and parameter identification of solar cells is of paramount importance. So far, several mode
Publikováno v:
International Journal of Modelling, Identification and Control. 1:1
Publikováno v:
Energy. 179:358-372
The use of solar energy as a source of clean energy is increasing throughout the world. Therefore, designing higher-quality photovoltaic cells has attracted researches. Several equivalent circuits have been proposed for the photovoltaic cell, but it
Publikováno v:
Solar Energy. 180:180-191
Evaluating the performance of photovoltaic panels inevitably involves having the exact model of solar cells. Different approaches to model solar cells have been proposed in literature which can generally be classified as either traditional or intelli
Publikováno v:
Evolving Systems. 12:255-272
In this paper, an efficient stochastic optimization algorithm is presented for parameter identification of nonlinear systems. Due to its robust performance, short running time and desirable potency to find local minimums the Lozi map-based chaotic op
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