JOUANE Youssef

Research team

Engineering and Numerical Tools

Research themes

• Artificial intelligence applied to energy prediction

• Building-integrated photovoltaics (BIPV)
• Smart energy systems
• Energy and materials sciences
• Photovoltaic

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Educational activities

• Disciplines: Photovoltaics & Renewable Energies, Materials, Electronics, Mechanics, Electricity & Signal Processing & Thermal Engineering
• Method: Project-based learning, Lectures, Tutorials, Practical work.
• 1-5 years engineering schools, undergraduate courses, Associate’s Degree (DUT, Two-year university degree in technology), Bachelor of Science (B.S.), Master’s degree, MSC (Master of Science).
• Pedagogical responsibilities Responsible for engineering students promotion, Academic responsibilities
• Responsible for organizing introductory research internships for the construction and public works sector (4th year) at the CESI Strasbourg campus.

Research supervision

• Co-supervision of thesis (70% supervision):
  Supervision of the thesis of Mr. SOW Mame Cheikh (3rd year, 2022-2025) on the energy prediction of industrial buildings 4.0 and sustainability integrating the BI²PV concept via artificial learning methods. The thesis is co-financed by the Grand Est Region and CESI, and is carried out within the Doctoral School SMI n°432.
• Academic supervision of final year projects (FYP) at CESI (2021-2022):
  Management of final year projects focused on the application of Artificial Intelligence to the prediction of photovoltaic production.
• Academic supervision of final-year projects (PFE) at CESI (2022-2023):
  Design and management of applied research projects in artificial intelligence, aimed at optimizing the integration of innovative photovoltaic systems (BIPV) in smart buildings. Supervision of engineering students on AI/ML methodologies for predictive modeling and automation of energy processes.
• CESI final year project supervision in partnership with CCCA-BTP (2023-2024):
  Supervision of a project on the development of a tool to help decarbonize the building stock, based on a multi-scale approach integrating artificial intelligence, in collaboration with the Consultation and Coordination Committee for Apprenticeship in Building and Public Works (CCCA BTP).
• Academic supervision during an international Research exchange program at CESI (2023-2024):
  Internship supervision (King Mongkut’s University of Technology North Bangkok, Thailand) within the framework of a research project on “the integration of solar panels into BIM (Building Information Modeling)”. Methodological support and guidance at the CESI Strasbourg campus, focused on analyzing the synergies between renewable energies, digital tools, and eco-design of buildings.
• National academic collaborations (co-supervision of doctoral theses):

University of Limoges (XLIM UMR-CNRS 7252):

Thesis 1 (2018-2019): 15% co-supervision on the opto-electronic modeling of nanostructured transparent electrodes for applications in solar panels (perovskite thin films/OSC).

Thesis 2 (2017-2019): 15% co-supervision focusing on the analysis of photo-induced degradation mechanisms in perovskite solar cells by ultrafast pulsed spectroscopy.

University of Strasbourg (ICube UMR 7357):

Thesis 3 (2013-2015): 15% co-supervision of work on the integration of multilayer graphene sheets in organic solar cells (OSC) for the improvement of charge transport properties and morphological stability.

• International academic collaborations (co-supervision of doctoral theses):

Kochi University of Technology (Japan) & Hassan II University of Casablanca (Morocco):

Thesis 4 (2016-2019): 15% co-supervision focusing on the morphological and microstructural characterization of interfaces in multilayer solar cells with inverted polymer-fullerene bulk heterojunction.

Selected publications

• M. C. SOW, Y. Jouane and M. ZGHAL. BI2PV Simulator for Optimized BIPV Design in Industrial Buildings. Energy and Buildings. 116576 (2025) https://www.sciencedirect.com/science/article/pii/S0378778825013064
• M. C. SOW, Y. Jouane and M. ZGHAL. Enhancing BIPV Building Energy Autonomy in PV systems through predictive energy control and real-time error reduction. Electric Power Systems Research. 248, 111954 (2025). https://www.sciencedirect.com/science/article/pii/S0378779625005450
• Y. Jouane, I. Abouelaziz, I. Saddik, O. Oussous. Lightweight Deep Learning for Photovoltaic Energy Prediction: Optimizing Decarbonization in Winter Houses. Solar Energy. 297, 113567 (2025) https://www.sciencedirect.com/science/article/pii/S0038092X25003305
• I. Abouelaziz, Y. Jouane. Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization. Build. Simul. 17, 189–205 (2024) https://link.springer.com/article/10.1007/s12273-023-1089-y
• M. C. SOW, Y. Jouane and M. ZGHAL. From Data to Energy Management: Evaluating and Analysis of Univariate and Multivariate AI Models for Photovoltaic Systems in Smart Grids, (2024) 13th International Conference on Renewable Energy Research and Applications (ICRERA), Nagasaki, Japan, pp. 150-155 (2024) https://ieeexplore.ieee.org/abstract/document/10815483
• Y. Jouane, I. Saddik, C. M. SOW, I. Abouelaziz, N. Rolling and F. Le Nuellec, “Leveraging Synthetic Data to Empower AI Models to Predict Photovoltaic Energy Production to Aid in the Decarbonization of Buildings,” 2024 13th International Conference on Renewable Energy Research and Applications (ICRERA), Nagasaki, Japan, pp. 156-160 (2024) https://ieeexplore.ieee.org/abstract/document/10815288
• M. C. Sow, Y. Jouane, O. Oussous, N. Vontobel and M. Zghal, “Very short-term prediction of photovoltaic energy in the winter building for an automatic energy management system,” 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, Australia, pp. 1-5 (2023) https://ieeexplore.ieee.org/abstract/document/10408729
• M. C. Sow, Y. Jouane, I. Abouelaziz and M. Zghal. Towards deep learning methods to improve photovoltaic prediction and building decarbonization in benchmarking study. J. Phys.: Conf. Ser. 2600 082037 (2023) https://iopscience.iop.org/article/10.1088/1742-6596/2600/8/082037
• Y. Jouane, M. C. Sow, O. Oussous, N. Vontobel and M. Zghal, “Forecasting Photovoltaic Energy for a Winter House Using a Hybrid Deep Learning Model,” 2023 12th International Conference on Renewable Energy Research and Applications (ICRERA), Oshawa, ON, Canada, pp. 1-5 (2023) https://ieeexplore.ieee.org/abstract/document/10269444
• M. Dourhmi, K. Benlamine, I. Abouelaziz, M. Zghal, T. Masrour, Y. Jouane. Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case Study. Emerging Trends in Intelligent Systems & Network Security. NISS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 147. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-031-15191-0_26
• F. Al-zohbi, Y. Jouane, S. Benhattab, J. Faure-Vincent, F. Tran Van, S. Vedraine, J. Bouclé, N. Berton, B. Schmaltz. Simple carbazole-based hole transporting materials with fused benzene ring substituents for efficient perovskite solar cells . New Journal of Ch. 43, 12211-12214 (2019) https://pubs.rsc.org/en/content/articlelanding/2019/nj/c9nj03089a/unauth
• A. Jouane, R. Moubah, H. Lassri, G. Schmerber, R. Lardée, Y. Odarchenko, D. A. Ivanov, Y. -A, Chapuis, Y. Jouane. Solar Energy Materials & Solar Cells. 180, 258–265, 2018. 3.
• Y. Jouane, Hidehiro Nakamura, Jingdong Luo, Alex K-Y. Jen, Yasufumi Enami. Journal of Optics, 19 (4), 045503 (2017).
• Y. Jouane, Yasufumi Enami. Optics & Laser Technology, Volume 94C, Pages 146-153 (2017).
• A. Jouane, R. Moubah, H. Lassri, D. Saifaoui, G. Schmerber, H. Jaouani, H. Ennamiri, Y. -A, Chapuis, Y. Jouane. Organic Electronics, Volume 39, Pages 138–145. (2016).
• J. Hajar, D. Saifaoui, Y. Jouane, E Habiba, D. Mohamed. Journal of Composite and Advanced Materials. Volume 26, Pages 451-465. (2016).
• H. Lemziouka, R. Moubah, Z. Rachid, F, Y. Jouane, K. Hlil, E, M. Abid, H. Lassri. Ceramics International, Volume 42, Issue 16, 2016, Pages 19402–19405. 8.
• A. Jouane, R. Moubah, H. Lassri, G. Schmerber, R. Lardée, Y. Odarchenko, D. A. Ivanov, Y. -A, Chapuis, Y. Jouane. IEEE. 2016 International Renewable and Sustainable Energy Conference (IRSEC), 180, 70-77, 2016. 9.
• Y. Jouane, G. Schmerber, G. S. Chang, P. Bazylewski, A. Dinia, S. Colis and Y.-A. Chapuis. Thin Solid Films. 576: 23-30 (2015).
• Y. Enami, Y. Jouane, J. Luo, and A. K-Y. Jen. Lasers & Electro-Optics, Pacific Rim, (Optical Society of America), paper 26J1-3. (2015).