22 citations · 39 across the 7 of their papers we have counts for
7 papers
Symmetry-Constrained Forecasting of Periodically Correlated Energy Processes
Cyril Voyant, Candice Banes, Luis Garcia-Gutierrez +3
Time series in energy systems, such as solar irradiance, wind speed, or electrical load, are characterized by strong diurnal and seasonal periodicities. Accurate forecasting requir…
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…
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…
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…
Benchmarks for Solar Radiation Time Series Forecasting
Cyril Voyant, Gilles Notton, Jean-Laurent Duchaud +3
With an ever-increasing share of intermittent renewable energy in the world's energy mix,there is an increasing need for advanced solar power forecasting models to optimize the ope…