Dr. Santiago Silvestre

Universitat Politècnica de Catalunya, Spain

Associate Professor

Email: Santiago.silvestre@upc.edu

Qualifications

1996 Ph.D.,Telecommunications Engineering,Universitat Politècnica de Cataluny, Spain

1992 M.Sc.,Telecommunications Engineering,Universitat Politècnica de Cataluny,Spain

Publications (Selected)

1. Mekri, A., Seghiour, A., Kaddour, F., Boudouaoui, Y., Chouder, A., Silvestre, S. (2025). Novel Hybrid Analytical-Metaheuristic Optimization for Efficient Photovoltaic Parameter Extraction. Electronics, 14(21), 4294.
2. Tahri, F., Tahri, G., Tahri, A., Silvestre, S., Rampinelli, G. A., Nofuentes, G. (2025). Economic and comparative performance analysis of thin-film grid-connected PV systems in Southern Europe. Energy and Buildings, 116564.
3. Gaaloul, Y., Bel Hadj Brahim Kechiche, O., Oudira, H., Chouder, A., Hamouda, M., Silvestre, S., Kichou, S. (2025). Faults detection and diagnosis of a Large-Scale PV system by analyzing power losses and electric indicators computed using random forest and KNN-Based prediction models. Energies, 18(10), 2482.
4. Mouleloued, Y., Kara, K., Chouder, A., Aouaichia, A., Silvestre, S. (2025). Euclidean distance-based tree algorithm for fault detection and diagnosis in photovoltaic systems. Energies, 18(7), 1773.
5. Yettou, T., Bouchetata, N., Seghiour, A., Benouzza, N., Chouder, A., Silvestre, S., Rabhi, A. (2024). Comparative analysis of metaheuristic algorithms for extracting electrical parameters of PV modules. Algerian Journal of Research and Technology (AJRT), 8(2), 48-57.
6. Amiri, A. F., Chouder, A., Oudira, H., Silvestre, S., Kichou, S. (2024). Improving photovoltaic power prediction: Insights through computational modeling and feature selection. Energies, 17(13), 3078.
7. Amiri, A. F., Kichou, S., Oudira, H., Chouder, A., Silvestre, S. (2024). Fault detection and diagnosis of a photovoltaic system based on deep learning using the combination of a convolutional neural network (cnn) and bidirectional gated recurrent unit (Bi-GRU). Sustainability, 16(3), 1012.
8. Halassa, E., Mazouz, L., Seghiour, A., Chouder, A., Silvestre, S. (2023). Revolutionizing photovoltaic systems: an innovative approach to maximum power point tracking using enhanced dandelion optimizer in partial shading conditions. Energies, 16(9), 3617.
9. Kichou, S., Markvart, T., Wolf, P., Silvestre, S., Chouder, A. (2022). A simple and effective methodology for sizing electrical energy storage (EES) systems based on energy balance. Journal of Energy Storage, 49, 104085.
10. Silvestre Bergés, S. (2022). Study of PV systems for self-consumption at the UPC based on simulations by using PVSol. In 10th International Workshop on Teaching in Photovoltaics: IWTPV'22: Prague, Czech Republic: June 16-17, 2022: proceedings (pp. 91-93). Czech Technical University.
11. Boucharef, A., Tahri, A., Tahri, F., Silvestre, S., Bourahla, M. (2022). Solar module emulator based on a low-cost microcontroller. Measurement, 187, 110275.
12. Motahhir, S., Chouder, A., El Hammoumi, A., Benyoucef, A. S., El Ghzizal, A., Kichou, S., Silvestre, S. (2020). Optimal energy harvesting from a multistrings PV generator based on artificial bee colony algorithm. IEEE Systems Journal, 15(3), 4137-4144.
13. Silvestre Bergés, S., Salazar Soler, J., Marzo, J. (2019). Printed Circuit Board (PCB) design process and fabrication.
14. Dhimish, M., Silvestre, S. (2019). Estimating the impact of azimuth-angle variations on photovoltaic annual energy production. Clean Energy, 3(1), 47-58.
15. Kichou, S., Wolf, P., Silvestre, S., Chouder, A. (2018). Analysis of the behaviour of cadmium telluride and crystalline silicon photovoltaic modules deployed outdoor under humid continental climate conditions. Solar Energy, 171, 681-691.
16. Silvestre, S., Tahri, A., Tahri, F., Benlebna, S., Chouder, A. (2018). Evaluation of the performance and degradation of crystalline silicon-based photovoltaic modules in the Saharan environment. Energy, 152, 57-63.
17. Silvestre, S. (2018). Strategies for fault detection and diagnosis of PV systems. In Advances in renewable energies and power technologies (pp. 231-255). Elsevier.
18. Garoudja, E., Chouder, A., Kara, K., Silvestre, S. (2017). An enhanced machine learning based approach for failures detection and diagnosis of PV systems. Energy conversion and management, 151, 496-513.
19. Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A., Silvestre, S. (2017). Statistical fault detection in photovoltaic systems. Solar Energy, 150, 485-499.
20. Garoudja, E., Harrou, F., Sun, Y., Kara, K., Chouder, A., Silvestre, S. (2017, May). A statistical-based approach for fault detection and diagnosis in a photovoltaic system. In 2017 6th International Conference on Systems and Control (ICSC) (pp. 75-80). IEEE.
21. Silvestre, S., Kichou, S., Guglielminotti, L., Nofuentes, G., Alonso-Abella, M. (2016). Degradation analysis of thin film photovoltaic modules under outdoor long term exposure in Spanish continental climate conditions. Solar Energy, 139, 599-607.
22. Kichou, S., Silvestre, S., Guglielminotti, L., Mora-López, L., Muñoz-Cerón, E. (2016). Comparison of two PV array models for the simulation of PV systems using five different algorithms for the parameters identification. Renewable Energy, 99, 270-279.
23. Silvestre, S., Mora-López, L., Kichou, S., Sánchez-Pacheco, F., Dominguez-Pumar, M. (2016). Remote supervision and fault detection on OPC monitored PV systems. Solar Energy, 137, 424-433.

Profile Details

https://eel.upc.edu/ca/personal/pagines-personals/santiago-silvestre-berges

https://scholar.google.com/citations?user=aJze1FIAAAAJ&hl=en

https://www.researchgate.net/profile/Santiago-Silvestre

WoS Researcher ID: L-2980-2014