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pro vyhledávání: '"Kasmi, Gabriel"'
Despite the growing use of deep neural networks in safety-critical decision-making, their inherent black-box nature hinders transparency and interpretability. Explainable AI (XAI) methods have thus emerged to understand a model's internal workings, a
Externí odkaz:
http://arxiv.org/abs/2410.01482
Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording the technical characteristifs of rooftop PV systems are often missing, making it difficult to accurately moni
Externí odkaz:
http://arxiv.org/abs/2408.07828
Autor:
Little, Emily, Cogen, Florent, Bustarret, Quentin, Dussartre, Virginie, Lâasri, Maxime, Kasmi, Gabriel, Girod, Marie, Bienvenu, Frederic, Fortin, Maxime, Bourmaud, Jean-Yves
The ATLAS model simulates the various stages of the electricity market chain in Europe, including the formulation of offers by different market actors, the coupling of European markets, strategic optimization of production portfolios and, finally, re
Externí odkaz:
http://arxiv.org/abs/2402.12848
Photovoltaic (PV) energy is crucial for the decarbonization of energy systems. Due to the lack of centralized data, remote sensing of rooftop PV installations is the best option to monitor the evolution of the rooftop PV installed fleet at a regional
Externí odkaz:
http://arxiv.org/abs/2309.12214
Photovoltaic (PV) energy grows at an unprecedented pace, which makes it difficult to maintain up-to-date and accurate PV registries, which are critical for many applications such as PV power generation estimation. This lack of qualitative data is esp
Externí odkaz:
http://arxiv.org/abs/2309.07143
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Neural networks have shown remarkable performance in computer vision, but their deployment in numerous scientific and technical fields is challenging due to their black-box nature. Scientists and practitioners need to evaluate the reliability of a de
Externí odkaz:
http://arxiv.org/abs/2305.14979
Autor:
Kasmi, Gabriel1,2 (AUTHOR) yves-marie.saint-drenan@minesparis.psl.eu, Touron, Augustin2 (AUTHOR), Blanc, Philippe1 (AUTHOR), Saint-Drenan, Yves-Marie1 (AUTHOR), Fortin, Maxime2 (AUTHOR), Dubus, Laurent2,3 (AUTHOR) laurent.dubus@rte-france.com
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 17, p4353. 22p.
Autor:
Kasmi, Gabriel, Saint-Drenan, Yves-Marie, Trebosc, David, Jolivet, Raphaël, Leloux, Jonathan, Sarr, Babacar, Dubus, Laurent
Photovoltaic (PV) energy generation plays a crucial role in the energy transition. Small-scale PV installations are deployed at an unprecedented pace, and their integration into the grid can be challenging since public authorities often lack quality
Externí odkaz:
http://arxiv.org/abs/2209.03726
Photovoltaic (PV) energy is rapidly growing and key to mitigating the energy crisis. However, distributed PV generation, which amounts to half of the PV installed capacity, is typically unavailable to transmission system operators (TSOs), making it i
Externí odkaz:
http://arxiv.org/abs/2207.07466
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