activity
20192024
most citedA parametric model for wind turbine power curves incorporating environmental conditions

187 citations · 262 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024★ 1 cited

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…

eess.SP2023★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 3 cited

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.…

cs.CV2022★ 67 cited

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…

cs.CV2022★ 2 cited

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…

eess.SP2019★ 187 cited

A parametric model for wind turbine power curves incorporating environmental conditions

Yves-Marie Saint-Drenan, Romain Besseau, Malte Jansen +7

A wind turbine's power curve relates its power production to the wind speed it experiences. The typical shape of a power curve is well known and has been studied extensively; howev…