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 | 1704 | 2017 |
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 | 463 | 2010 |
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 | 416 | 2018 |
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 | 278 | 2012 |
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 | 201 | 2011 |
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 | 148 | 2018 |
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 | 112 | 2019 |
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 | 106 | 2012 |
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 | 100 | 2014 |
Hybrid methodology for hourly global radiation forecasting in Mediterranean area C Voyant, M Muselli, C Paoli, ML Nivet Renewable Energy 53, 1-11, 2013 | 87 | 2013 |
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 | 85 | 2013 |
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 | 81 | 2014 |
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 | 76 | 2009 |
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 | 74 | 2013 |
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 | 59 | 2014 |
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 | 56 | 2018 |
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 | 51 | 2016 |
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 | 43 | 2014 |
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 | 36 | 2019 |
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 | 32 | 2016 |