187 citations
- École Nationale Supérieure des Mines de ParisFR3 papers
- Électricité de France (France)FR3 papers
- World Energy CouncilGB3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Sciences pour l'EnvironnementFR2 papers
- Université de Corse Pascal PaoliFR2 papers
- University of KragujevacRS2 papers
- Ahmed Draia UniversityDZ1 paper
- BOKU UniversityAT1 paper
- Centre de Robotique1 paper
- Harvard University PressUS1 paper
- Hôpital Saint-MichelFR1 paper
7 papers
NICE^k Metrics: Unified and Multidimensional Framework for Evaluating Deterministic Solar Forecasting Accuracy
Cyril Voyant, Milan Despotovic, Luis Garcia-Gutierrez +4
Accurate solar energy output prediction is key for integrating renewables into grids, maintaining stability, and improving energy management. However, standard error metrics such a…
Stochastic Coefficient of Variation: Assessing the Variability and Forecastability of Solar Irradiance
Cyril Voyant, Alan Julien, Milan Despotovic +5
This work presents a robust framework for quantifying solar irradiance variability and forecastability through the Stochastic Coefficient of Variation (sCV) and the Forecastability…
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi, Amandine Brunetto, Thomas Fel +1
Feature attribution methods aim to improve the transparency of deep neural networks by identifying the input features that influence a model's decision. Pixel-based heatmaps have b…
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…
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…
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.…