Welcome - Homepage of Amar Meddahi
I am currently pursuing a PhD at Mines Paris - PSL University in Engineering. I am affiliated with the Centre Observations, Impacts, Energie (O.I.E.) in Sophia Antipolis, and TotalEnergies R&D in Paris-Saclay.
My research focuses on developing data fusion methods that integrate satellite imagery and ground-based sky imagers to create hybrid solar forecasting systems. By leveraging both sources, I aim to provide more accurate and informed forecasts for solar energy users and producers globally (visual overview).
If you're interested in my work, feel free to reach out!
Links
Research
2025
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Skill-Driven Data Sampling and Deep Learning Framework for Minute-Scale Solar Forecasting with Sky Images
(Published in Solar RRL)
[article page] |
[read access]
2024
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Skill-Driven Model Training for Solar Forecasting with Sky Images
(Oral presentation at EU PVSEC 2024, Vienna)
[conference proceedings] |
[slides] |
[extended abstract]
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Exploring Relationships between Satellite-Observed Cloud Albedo and ERA5 Variables for Enhanced Data-Driven Short-Term Irradiance Forecasting
(Oral presentation at EMS Annual Meeting 2024, Barcelona)
[abstract] |
[slides]
2021
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SIP-GAN: Generative Adversarial Networks for SIP Traffic Generation
(Oral presentation at IEEE ISNCC 2021, Dubai)
[paper] |
[code]
Talks & Presentations
2025
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Mines Paris - PSL Solar Winter School 2025
(10 Mar 2025, Sophia-Antipolis)
[poster]
2024
-
IEA PVPS Task 16, 15th Task Meeting
(29 Oct 2024, Golden, CO)
[slides]
-
EU PVSEC 2024
(25 Sep 2024, Vienna)
[slides] |
[photo]
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IEA PVPS Task 16, 14th Task Meeting
(09 Apr 2024, Roskilde)
[slides] |
[photo]
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Mines Paris - PSL Solar Winter School 2024
(11 Mar 2024, Sophia-Antipolis)
[poster]
Technical & Non-Technical Training Attended
2025
-
Economie de l’énergie @Mines Paris - PSL, Paris (Mar 2025)
[agenda]
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All-Sky Imager Workshop 2025, Rosenheim (Feb 2025)
[agenda]
2024
2023
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France Research Day @Google, Paris (Nov 2023)
[agenda]
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MATHIAS Days 2023 @TotalEnergies, Paris (Oct 2023)
[agenda]
Additional Projects
- [overview] - [code] Deep learning for monitoring environment and biodiversity through acoustic recognition of landscapes and animal sounds (developed for INRAE)
- [overview] Enhancing Team Collaboration through a Software Project Recommender System (developed for Thales)
Blog
- [phd] Navigating the Ph.D. Odyssey: A Resource Toolkit
Extracurricular Activities