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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature
Florencia Almonacid, Eduardo F. Férnández, Tapas K. Mallick, et al.
Energy (2015) Vol. 84, pp. 336-343
Closed Access | Times Cited: 25

Showing 25 citing articles:

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models
Kunal Sandip Garud, S. Jayaraj, Moo‐Yeon Lee
International Journal of Energy Research (2020) Vol. 45, Iss. 1, pp. 6-35
Open Access | Times Cited: 204
Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
Florencia Almonacid, Eduardo F. Férnández, A. Mellit, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 75, pp. 938-953
Closed Access | Times Cited: 78
Comparative assessment of the spectral impact on the energy yield of high concentrator and conventional photovoltaic technology
Eduardo F. Férnández, Alberto Soria-Moya, Florencia Almonacid, et al.
Solar Energy Materials and Solar Cells (2015) Vol. 147, pp. 185-197
Closed Access | Times Cited: 67
Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics
Zhicong Chen, Yixiang Chen, Lijun Wu, et al.
Energy Conversion and Management (2019) Vol. 186, pp. 168-187
Open Access | Times Cited: 55
Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of I-V curves
Zhicong Chen, Hui Yu, Linlu Luo, et al.
Applied Energy (2021) Vol. 292, pp. 116929-116929
Closed Access | Times Cited: 47
Quantification of the spectral coupling of atmosphere and photovoltaic system performance: Indexes, methods and impact on energy harvesting
Pedro M. Rodrigo, Eduardo F. Férnández, Florencia Almonacid, et al.
Solar Energy Materials and Solar Cells (2017) Vol. 163, pp. 73-90
Closed Access | Times Cited: 60
Parameters Identification of Photovoltaic Models Using a Multi-Strategy Success-History-Based Adaptive Differential Evolution
Qinzhi Hao, Zhongliang Zhou, Zhenglei Wei, et al.
IEEE Access (2020) Vol. 8, pp. 35979-35994
Open Access | Times Cited: 47
A bankable method of assessing the performance of a CPV plant
Jonathan Leloux, E. Lorenzo, B. García-Domingo, et al.
Applied Energy (2014) Vol. 118, pp. 1-11
Open Access | Times Cited: 46
Experimental and theoretical model of a concentrating photovoltaic and thermal system
C. Renno, F. Petito
Energy Conversion and Management (2016) Vol. 126, pp. 516-525
Closed Access | Times Cited: 41
A cloud-based Bi-directional LSTM approach to grid-connected solar PV energy forecasting for multi-energy systems
Qi Liu, Oscar Famous Darteh, Muhammad Bilal, et al.
Sustainable Computing Informatics and Systems (2023) Vol. 40, pp. 100892-100892
Open Access | Times Cited: 10
Performance of photovoltaic cells in photovoltaic thermal (PVT) modules
Anas Al Tarabsheh, Issa Etier, Hassan E.S. Fath, et al.
IET Renewable Power Generation (2016) Vol. 10, Iss. 7, pp. 1017-1023
Closed Access | Times Cited: 29
Comparative study of methods for the extraction of concentrator photovoltaic module parameters
Eduardo F. Férnández, Jesús Montes‐Romero, J. de la Casa, et al.
Solar Energy (2016) Vol. 137, pp. 413-423
Closed Access | Times Cited: 27
Multiphysics modelling and experimental validation of high concentration photovoltaic modules
Marios Theristis, Eduardo F. Férnández, Mike Sumner, et al.
Energy Conversion and Management (2017) Vol. 139, pp. 122-134
Closed Access | Times Cited: 22
Determination of the current–voltage characteristics of concentrator systems by using different adapted conventional techniques
Florencia Almonacid, Pedro M. Rodrigo, Eduardo F. Férnández
Energy (2016) Vol. 101, pp. 146-160
Closed Access | Times Cited: 21
Comparative analysis of parameter extraction techniques for the electrical characterization of multi-junction CPV and m-Si technologies
Jesús Montes‐Romero, Florencia Almonacid, Marios Theristis, et al.
Solar Energy (2017) Vol. 160, pp. 275-288
Closed Access | Times Cited: 21
Multi-junction solar cells electrical characterization by neuronal networks under different irradiance, spectrum and cell temperature
Eduardo F. Férnández, Florencia Almonacid, Antonio J. García‐Loureiro
Energy (2015) Vol. 90, pp. 846-856
Closed Access | Times Cited: 19
Low-Cost I–V Tracer for PV Modules under Real Operating Conditions
Manuel Cáceres, Andrés Firman, Jesús Montes‐Romero, et al.
Energies (2020) Vol. 13, Iss. 17, pp. 4320-4320
Open Access | Times Cited: 16
Structural and physical characteristics optimization of a dual junction CGS/CIGS solar cell: A numerical simulation
Bita Farhadi, Mosayeb Naseri
Optik (2016) Vol. 127, Iss. 21, pp. 10232-10237
Closed Access | Times Cited: 16
Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems
M. A. Gadeo-Martos, A. J. Yuste, Florencia Almonacid, et al.
Energies (2019) Vol. 12, Iss. 3, pp. 567-567
Open Access | Times Cited: 7
Maximum power output prediction of HCPV FLATCON® module using an ANN approach
Mohamed Islam Said, Marc Steiner, Gerald Siefer, et al.
Renewable Energy (2020) Vol. 152, pp. 1274-1283
Closed Access | Times Cited: 7
Recovery of 4N-grade copper from photovoltaic ribbon in spent solar module
Jin‐Seok Lee, Young‐Soo Ahn, Gi‐Hwan Kang, et al.
Materials Technology (2016) Vol. 31, Iss. 10, pp. 574-579
Closed Access | Times Cited: 3
A novel evolutionary algorithm inspired from triangle search and its applications on parameters identification of photovoltaic models
Zhenglei Wei, Huan Zhou, Fei Cen, et al.
Soft Computing (2023) Vol. 27, Iss. 20, pp. 14835-14860
Closed Access | Times Cited: 1
Alternative Sources of Energy Modeling and Automation

MDPI eBooks (2020)
Open Access | Times Cited: 1
Estimating the Maximum Power of a Concentrator Photovoltaic Module through Random Forest
Claudia N. Sánchez, Pedro M. Rodrigo
(2023), pp. 1-5
Closed Access
A New Modeling Method for Photovoltaic Modules Based on Extreme Learning Machine and I-V Curves
Hui Yu, Zhicong Chen, Lijun Wu, et al.
(2020)
Open Access
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