Associate-Professor

JOUANE Youssef

Contact

Email :
Phone number : +33 3 88 10 59 72

Google Scholar

ResearchGate

Centre de Strasbourg
2 Allée des Foulons
67380 Lingolsheim

Research team

Engineering and Numerical Tools

Educational activities

  • Disciplines : Photovoltaic & Renewable Energies, Materials, Electronics, Mechanics, Electricity & Signal Processing & Thermal.
  • Pedagogy : Pedagogy by project, Lectures, TD, TP.
  • Levels : 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

Background

  • Ph.D in Energy and Materials sciences (Photovoltaic)
    University of Strasbourg, 2012
  • MSC (Master of Science)
    INSA of Strasbourg | University of Strasbourg, 2008
  • Master’s degree in Physics
    University of Strasbourg, 2007

Research interests

Renewable energy / Photovoltaics / Photonics and Systems / Smart building /Energy / Energy and Materials Sciences / Artificial Intelligence

Research supervisions

  • Various PhD co-supervision : University of Limoges, Köchi University of Technology in Japan, University of Strasbourg
  • Supervision : Research internship, «Machine Learning for BIPV Smart Buildings » 2022.

 

Selected publications

  • I. Abouelaziz, Y. Jouane. Photogrammetry and deep learning for energy production prediction and building-integrated photovoltaics decarbonization. Build. Simul. 17, 189–205 (2024). https://doi.org/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, 2024, pp. 150-155, doi: 10.1109/ICRERA62673.2024.10815483.
  • 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, 2024, pp. 156-160, doi: 10.1109/ICRERA62673.2024.10815288.
  • 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, 2023, pp. 1-5, doi: 10.1109/ETFG55873.2023.10408729.
  • M. C. Sow, Y. Jouane, I. Abouelaziz and M. Zghal. Towards deep learning methods to improve photovoltaic prediction and building decarbonization in benchmarking study. Published under licence by IOP Publishing Ltd Journal of Physics: Conference Series, Volume 2600, Optimization at building & urban scale Citation M C Sow et al 2023 J. Phys.: Conf. Ser. 2600 082037 DOI 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, 2023, pp. 1-5, doi: 10.1109/ICRERA59003.2023.10269444.
  • M. Dourhmi, K. Benlamine, I. Abouelaziz, M. Zghal, T. Masrour, Y. Jouane. (2023). Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case Study. In: Ben Ahmed, M., Abdelhakim, B.A., Ane, B.K., Rosiyadi, D. (eds) Emerging Trends in Intelligent Systems & Network Security. NISS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 147. Springer, Cham. https://doi.org/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. New Journal of Ch. 43, 12211-12214, 2019. 2. https://doi.org/10.1039/C9NJ03089A
  • 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).