Marc Muselli

According to our database1, Marc Muselli authored at least 16 papers between 2009 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2015
Heterogeneous transfer functions multi-layer perceptron (MLP) for meteorological time series forecasting.
Int. J. Model. Simul. Sci. Comput., 2015

Meteorological time series forecasting with pruned multi-layer perceptron and two-stage Levenberg-Marquardt method.
Int. J. Model. Identif. Control., 2015

2014
Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method.
CoRR, 2014

Numerical weather prediction or stochastic modeling: an objective criterion of choice for the global radiation forecasting.
CoRR, 2014

Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions.
CoRR, 2014

Time series modeling and large scale global solar radiation forecasting from geostationary satellites data.
CoRR, 2014

Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study.
CoRR, 2014

2013
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method.
CoRR, 2013

Multi-horizon solar radiation forecasting for Mediterranean locations using time series models.
CoRR, 2013

Bayesian rules and stochastic models for high accuracy prediction of solar radiation.
CoRR, 2013

2012
Hybrid methodology for hourly global radiation forecasting in Mediterranean area
CoRR, 2012

A Bayesian Model Committee Approach to Forecasting Global Solar Radiation
CoRR, 2012

Numerical Weather Prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
CoRR, 2012

2010
Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks
CoRR, 2010

2009
Predictability of PV power grid performance on insular sites without weather stations: use of artificial neural networks
CoRR, 2009

Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009


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