85 citations
- Centre National de la Recherche ScientifiqueFR5 papers
- École Nationale Supérieure des Mines de ParisFR3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- Observatoire de la Côte d’AzurFR3 papers
- Czech Academy of Sciences, Astronomical InstituteCZ2 papers
- GéoazurFR2 papers
- Institut de Physique de NiceFR2 papers
- Université Côte d'AzurFR2 papers
- 143-GnoscaCH1 paper
- Acerde (France)FR1 paper
- Adam Mickiewicz University in PoznańPL1 paper
- ADIR AssociationFR1 paper
20 papers
A Tolerance-Based Framework for Spatio-Temporal Forecast Validation Using the gamma-Index
Cyril Voyant
Classical field forecast evaluation relies mainly on local scores such as RMSE or MAE. These metrics severely over-penalize small spatial or temporal displacements of coherent stru…
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…
Newborn Be star systems observed shortly after mass transfer
Th. Rivinius, R. Klement, S. D. Chojnowski +24
Many classical Be stars acquire their very rapid rotation by mass and angular-momentum transfer in massive binaries. Short-lived intermediate-phase objects have only been discovere…
High-temperature dust formation in carbon-rich astrophysical environments
Guy Libourel, Marwane Mokhtari, Vandad-Julien Rohani +7
Condensation processes, which are responsible for the main chemical differences between gas and solids in the Galaxy, are the major mechanisms that control the cycle of dust from e…
News and Load: Social and Economic Drivers of Regional Multi-horizon Electricity Demand Forecasting
Yun Bai, Simon Camal, Andrea Michiorri
The relationship between electricity demand and variables such as economic activity and weather patterns is well established. However, this paper explores the connection between el…
Decision-Oriented Learning for Future Power System Decision-Making under Uncertainty
Ran Li, Haipeng Zhang, Mingyang Sun +4
Better forecasts may not lead to better decision-making. To address this challenge, decision-oriented learning (DOL) has been proposed as a new branch of machine learning that repl…