273 citations · 402 across the 14 of their papers we have counts for
16 papers
On the impact of the global energy policy framework on the development and sustainability of renewable power systems in Sub-Saharan Africa: the case of solar PV
Benjamin Pillot, Marc Muselli, Philippe Poggi +1
From 1972 and the Meadows report to 1997 and the ratification of the Kyoto Protocol by most of the countries in the world, the global energy policy framework has undergone a paradi…
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
Cédric Join, Cyril Voyant, Michel Fliess +4
This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are em…
Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method
Cyril Voyant, Wani W. Tamas, Marie Laure Nivet +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…
Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions
Cyril Voyant, Marie Laure Nivet, Christophe Paoli +2
In this paper, we propose to study four meteorological and seasonal time series coupled with a multi-layer perceptron (MLP) modeling. We chose to combine two transfer functions for…
Numerical weather prediction or stochastic modeling: an objective criterion of choice for the global radiation forecasting
Cyril Voyant, Gilles Notton, Christophe Paoli +3
Numerous methods exist and were developed for global radiation forecasting. The two most popular types are the numerical weather predictions (NWP) and the predictions using stochas…
Time series modeling and large scale global solar radiation forecasting from geostationary satellites data
Cyril Voyant, Pierrick Haurant, Marc Muselli +2
When a territory is poorly instrumented, geostationary satellites data can be useful to predict global solar radiation. In this paper, we use geostationary satellites data to gener…