273 citations · 358 across the 8 of their papers we have counts for
4 papers · 1 filter
Bayesian rules and stochastic models for high accuracy prediction of solar radiation
Cyril Voyant, C. Darras, Marc Muselli +3
It is essential to find solar predictive methods to massively insert renewable energies on the electrical distribution grid. The goal of this study is to find the best methodology…
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method
Cyril Voyant, Wani W. Tamas, Christophe Paoli +4
A Multi-Layer Perceptron (MLP) defines a family of artificial neural networks often used in TS modeling and forecasting. Because of its "black box" aspect, many researchers refuse…
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models
Cyril Voyant, Christophe Paoli, Marc Muselli +1
Considering the grid manager's point of view, needs in terms of prediction of intermittent energy like the photovoltaic resource can be distinguished according to the considered ho…
Urban ozone concentration forecasting with artificial neural network in Corsica
Wani W. Tamas, Gilles Notton, Christophe Paoli +3
Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air quality in Corsic…