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Marie Laure Nivet
Marie Laure Nivet
Maître de conférences en informatique, Université de Corse
Verified email at univ-corse.fr
Title
Cited by
Cited by
Year
Machine learning methods for solar radiation forecasting: A review
C Voyant, G Notton, S Kalogirou, ML Nivet, C Paoli, F Motte, A Fouilloy
Renewable energy 105, 569-582, 2017
15882017
Forecasting of preprocessed daily solar radiation time series using neural networks
C Paoli, C Voyant, M Muselli, ML Nivet
Solar energy 84 (12), 2146-2160, 2010
4452010
Intermittent and stochastic character of renewable energy sources: Consequences, cost of intermittence and benefit of forecasting
G Notton, ML Nivet, C Voyant, C Paoli, C Darras, F Motte, A Fouilloy
Renewable and sustainable energy reviews 87, 96-105, 2018
3562018
Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
C Voyant, M Muselli, C Paoli, ML Nivet
Energy 39 (1), 341-355, 2012
2712012
Optimization of an artificial neural network dedicated to the multivariate forecasting of daily global radiation
C Voyant, M Muselli, C Paoli, ML Nivet
Energy 36 (1), 348-359, 2011
2002011
Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability
A Fouilloy, C Voyant, G Notton, F Motte, C Paoli, ML Nivet, E Guillot, ...
Energy 165, 620-629, 2018
1422018
Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks
G Notton, C Paoli, S Vasileva, ML Nivet, JL Canaletti, C Cristofari
Energy 39 (1), 166-179, 2012
1062012
Some applications of ANN to solar radiation estimation and forecasting for energy applications
G Notton, C Voyant, A Fouilloy, JL Duchaud, ML Nivet
Applied Sciences 9 (1), 209, 2019
1042019
Estimation of 5-min time-step data of tilted solar global irradiation using ANN (Artificial Neural Network) model
K Dahmani, R Dizene, G Notton, C Paoli, C Voyant, ML Nivet
Energy 70, 374-381, 2014
942014
Hybrid methodology for hourly global radiation forecasting in Mediterranean area
C Voyant, M Muselli, C Paoli, ML Nivet
Renewable Energy 53, 1-11, 2013
852013
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models
C Voyant, C Paoli, M Muselli, ML Nivet
Renewable and Sustainable Energy Reviews 28, 44-52, 2013
812013
Bayesian rules and stochastic models for high accuracy prediction of solar radiation
C Voyant, C Darras, M Muselli, C Paoli, ML Nivet, P Poggi
Applied Energy 114, 218-226, 2014
772014
Solar radiation forecasting using ad-hoc time series preprocessing and neural networks
C Paoli, C Voyant, M Muselli, ML Nivet
Emerging Intelligent Computing Technology and Applications: 5th …, 2009
742009
Neural network approach to estimate 10-min solar global irradiation values on tilted planes
G Notton, C Paoli, L Ivanova, S Vasileva, ML Nivet
Renewable Energy 50, 576-584, 2013
722013
Prediction intervals for global solar irradiation forecasting using regression trees methods
C Voyant, F Motte, G Notton, A Fouilloy, ML Nivet, JL Duchaud
Renewable energy 126, 332-340, 2018
572018
Twenty four hours ahead global irradiation forecasting using multi‐layer perceptron
C Voyant, P Randimbivololona, ML Nivet, C Paoli, M Muselli
Meteorological applications 21 (3), 644-655, 2014
572014
Hybridization of air quality forecasting models using machine learning and clustering: An original approach to detect pollutant peaks
WW Tamas, G Notton, C Paoli, ML Nivet, C Voyant
Aerosol and Air Quality Research 16 (2), 405-416, 2016
482016
Time series modeling and large scale global solar radiation forecasting from geostationary satellites data
C Voyant, P Haurant, M Muselli, C Paoli, ML Nivet
Solar Energy 102, 131-142, 2014
412014
An advanced forecasting system for the optimum energy management of island microgrids
DH Alamo, RN Medina, SD Ruano, SS García, KP Moustris, KK Kavadias, ...
Energy procedia 159, 111-116, 2019
342019
Multilayer Perceptron approach for estimating 5-min and hourly horizontal global irradiation from exogenous meteorological data in locations without solar measurements
K Dahmani, G Notton, C Voyant, R Dizene, ML Nivet, C Paoli, W Tamas
Renewable energy 90, 267-282, 2016
312016
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