Folgen
Ted Soubdhan
Ted Soubdhan
Professeur, Université des Antilles
Bestätigte E-Mail-Adresse bei univ-antilles.fr
Titel
Zitiert von
Zitiert von
Jahr
A benchmarking of machine learning techniques for solar radiation forecasting in an insular context
P Lauret, C Voyant, T Soubdhan, M David, P Poggi
Solar Energy 112, 446-457, 2015
2702015
Classification of daily solar radiation distributions using a mixture of Dirichlet distributions
T Soubdhan, R Emilion, R Calif
Solar energy 83 (7), 1056-1063, 2009
1432009
Hourly forecasting of global solar radiation based on Multiscale Decomposition Methods: A Hybrid Approach
S Monjoly, M Andre, R Calif, T Soubdhan
Energy, 2017
1262017
Experimental evaluation of insulation material in roofing system under tropical climate
T Soubdhan, T Feuillard, F Bade
solar energy 79 (3), 311-320, 2005
1092005
A robust forecasting framework based on the Kalman filtering approach with a twofold parameter tuning procedure: Application to solar and photovoltaic prediction
T Soubdhan, J Ndong, H Ould-Baba, MT Do
Solar Energy 131, 246-259, 2016
632016
Statistical parameters as a means to a priori assess the accuracy of solar forecasting models
C Voyant, T Soubdhan, P Lauret, M David, M Muselli
Energy 90, 671-679, 2015
522015
Intermittency study of high frequency global solar radiation sequences under a tropical climate
R Calif, FG Schmitt, Y Huang, T Soubdhan
Solar Energy 98, 349-365, 2013
492013
Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data
A Frimane, T Soubdhan, JM Bright, M Aggour
Solar Energy 182, 462-479, 2019
352019
Preliminary assessment of two spatio-temporal forecasting technics for hourly satellite-derived irradiance in a complex meteorological context
M André, R Perez, T Soubdhan, J Schlemmer, R Calif, S Monjoly
Solar Energy 177, 703-712, 2019
322019
On the use of the coefficient of variation to measure spatial and temporal correlation of global solar radiation
R Calif, T Soubdhan
Renewable Energy 88, 192-199, 2016
292016
Predictive spatio-temporal model for spatially sparse global solar radiation data
M André, S Dabo-Niang, T Soubdhan, H Ould-Baba
Energy 111, 599-608, 2016
282016
Classification of wind speed distributions using a mixture of Dirichlet distributions
R Calif, R Emilion, T Soubdhan
Renewable energy 36 (11), 3091-3097, 2011
272011
A study on the minimum duration of training data to provide a high accuracy forecast for PV generation between two different climatic zones
MT Do, T Soubdhan, B Robyns
Renewable Energy 85, 959-964, 2016
202016
Use of BESTEST procedure to improve a building thermal simulation program
T Soubdhan, TA Mara, H Boyer, A Younes
World Renewable Energy Congress, Vol.5, ISSN 0960-1481, 1800-1803, 2000
172000
Forecast horizon and solar variability influences on the performances of multiscale hybrid forecast model
S Monjoly, M André, R Calif, T Soubdhan
Energies 12 (12), 2264, 2019
162019
Time dependent classification of solar radiation sequences using best information criterion
T Soubdhan, M Abadi, R Emilion
Energy Procedia 57, 1309-1316, 2014
152014
Integral backstepping improvement versus classical and multiscalar backstepping controllers for water IM‐pump fed by backstepping MPPT PV source based on solar measurements in …
F Mehazzem, A Reama, P Charles, T Soubdhan
IET Renewable Power Generation 15 (12), 2629-2644, 2021
82021
A Monte Carlo based solar radiation forecastability estimation
C Voyant, P Lauret, G Notton, JL Duchaud, A Fouilloy, M David, ...
Journal of Renewable and Sustainable Energy 13 (2), 2021
82021
Heat transfer in buildings: application to air solar heating and Trombe wall design
H Boyer, F Miranville, D Bigot, S Guichard, I Idriss, A Jean, AH Fakra, ...
arXiv preprint arXiv:1212.5260, 2012
82012
Preliminary study of one minute solar radiation measurements under tropical climate
T Soubdhan, T Feuillard
ISES Solar World Congress, Orlando, Florida, August 6-12, 2005, 2005
82005
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20