187 citations · 267 across the 9 of their papers we have counts for
10 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…
Short-Term Forecasting of Energy Production and Consumption Using Extreme Learning Machine: A Comprehensive MIMO based ELM Approach
Cyril Voyant, Milan Despotovic, Luis Garcia-Gutierrez +5
A novel methodology for short-term energy forecasting using an Extreme Learning Machine () is proposed. Using six years of hourly data collected in Corsica (France) f…
On the Importance of Clearsky Model in Short-Term Solar Radiation Forecasting
Cyril Voyant, Milan Despotovic, Gilles Notton +3
Clearsky models are widely used in solar energy for many applications such as quality control, resource assessment, satellite-base irradiance estimation and forecasting. However, t…
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…
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…
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…
Machine learning models show similar performance to Renewables.ninja for generation of long-term wind power time series even without location information
Johann Baumgartner, Katharina Gruber, Sofia Simoes +2
Driven by climatic processes, wind power generation is inherently variable. Long-term simulated wind power time series are therefore an essential component for understanding the te…
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…