3 papers
cs.LG2025
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…
cs.LG2025
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…
cs.CV2024
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…