67 citations · 80 across the 8 of their papers we have counts for
9 papers
Nationally Consistent, Locally Incomplete: A Bayesian Remote-Sensing Audit of Rooftop Photovoltaic Registries
Gabriel Kasmi, Yves-Marie Saint-Drenan, Laurent Dubus +1
Tracking the energy transition requires reliable statistics on renewable deployment. Rooftop photovoltaics (PV) are especially hard to track, owing to their decentralised nature, a…
When Bigger is Worse: A Practitioner's Guide to Model Selection Under Data Scarcity
Kwame Mbobda-Kuate, Gabriel Kasmi
Scaling laws assume larger models trained on more data consistently outperform smaller ones -- an assumption that drives model selection in computer vision but remains untested in…
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic Systems
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan +1
Photovoltaic (PV) energy grows rapidly and is crucial for the decarbonization of electric systems. However, centralized registries recording the technical characteristifs of roofto…
ATLAS: A Model of Short-term European Electricity Market Processes under Uncertainty
Emily Little, Florent Cogen, Quentin Bustarret +7
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 mar…
PyPVRoof: a Python package for extracting the characteristics of rooftop PV installations using remote sensing data
Yann Tremenbert, Gabriel Kasmi, Laurent Dubus +2
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 a…
Can We Reliably Improve the Robustness to Image Acquisition of Remote Sensing of PV Systems?
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan +1
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…
Assessment of the Reliablity of a Model's Decision by Generalizing Attribution to the Wavelet Domain
Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint Drenan +1
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.…
A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata
Gabriel Kasmi, Yves-Marie Saint-Drenan, David Trebosc +4
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 th…
Towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed PV mapping
Gabriel Kasmi, Laurent Dubus, Philippe Blanc +1
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 typi…