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…
physics.ao-ph2025
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…
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…