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    21

    Ted Soubdhan


    Professeur des Universités

    Directeur du Département de Physique

    Membre de l'IEA TASK 16 : Solar resource for high penetration and large scale applications

    Membre de l'Editorial Board du journal FORECASTING

    Responsable du Master Energy Management in Smart Cities

     


    Laboratoire de Recherche en Géosciences et Energies   

    Journal articles16 documents

    • Maïna André, Richard Perez, Ted Soubdhan, James Schlemmer, Rudy Calif, et al.. Preliminary assessment of two spatio-temporal forecasting technics for hourly satellite-derived irradiance in a complex meteorological context. Solar Energy, Elsevier, 2019, 177, pp.703-712. ⟨10.1016/j.solener.2018.11.010⟩. ⟨hal-02146308⟩
    • Stéphanie Monjoly, Maïna André, Rudy Calif, Ted Soubdhan. Forecast Horizon and Solar Variability Influences on the Performances of Multiscale Hybrid Forecast Model. Energies, MDPI, 2019, 12 (12), pp.2264. ⟨10.3390/en12122264⟩. ⟨hal-02282379⟩
    • Rudy Calif, Stéphanie Monjoly, Maïna André, Ted Soubdhan. Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach. Energy, Elsevier, 2017, 119, pp.288 - 298. ⟨10.1016/j.energy.2016.11.061⟩. ⟨hal-01688639⟩
    • Maïna Andre, Stéphanie Monjoly, Maïna André, Rudy Calif, Ted Soubdhan. Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach. Energy, Elsevier, 2017, 119, pp.288-298. ⟨hal-01974238⟩
    • Ted Soubdhan, Joseph Ndong, Hanany Ould-Baba, Minh-Thang Do. A robust forecasting framework based on the Kalman filtering approach with a twofold parameter tuning procedure: Application to solar and photovoltaic prediction. Solar Energy, Elsevier, 2016, 131, pp.246 - 259. ⟨10.1016/j.solener.2016.02.036⟩. ⟨hal-01823262⟩
    • Ted Soubdhan, Minh-Thang Do, Benoît Robyns. A study on the minimum duration of training data to provide a high accuracy forecast for PV generation between two different climatic zones. Renewable Energy, Elsevier, 2016, 85, pp.959-964. ⟨10.1016/j.renene.2015.07.057⟩. ⟨hal-01823260⟩
    • Rudy Calif, Ted Soubdhan. On the Use of the Coefficient of Variation to measure temporal correlation. Renewable Energy, Elsevier, 2015, 88, pp.192-198. ⟨10.1016/j.renene.2015.10.049⟩. ⟨hal-01528078⟩
    • Philippe Lauret, Cyril Voyant, Ted Soubdhan, Mathieu David, Philippe Poggi. A benchmarking of machine learning techniques for solar radiation forecastingin an insular context. Solar Energy, Elsevier, 2015, pp.00. ⟨hal-01099211⟩
    • Philippe Lauret, Cyril Voyant, Ted Soubdhan, Mathieu David, Philippe Poggi. A benchmarking of machine learning techniques for solar radiation forecasting in an insular context. Solar Energy, Elsevier, 2015, 112, pp.446 - 457. ⟨10.1016/j.solener.2014.12.014⟩. ⟨hal-01101564⟩
    • Cyril Voyant, Ted Soubdhan, Philippe Lauret, Mathieu David, Marc Muselli. Statistical parameters as a means to a priori assess the accuracy of solar forecasting models. Energy Journal, International Association for Energy Economics, 2015, pp.1. ⟨hal-01180041⟩
    • Rudy Calif, Ted Soubdhan. On the Use of the Coefficient of Variation to measure Spatial and Temporal correlation of Global Solar Radiation. Renewable Energy, Elsevier, 2014, pp.99-999. ⟨hal-01099045⟩
    • Rudy Calif, François G Schmitt, Yongxiang Huang, Ted Soubdhan. Intermittency study of high frequency global solar radiation sequences under a tropical climate. Solar Energy, Elsevier, 2013, 98, pp.349-365. ⟨10.1016/j.solener.2013.09.018⟩. ⟨hal-01527892⟩
    • Rudy Calif, François G Schmitt, Yongxiang Huang, Ted Soubdhan. Intermittency study of high frequency global solar radiation sequences under a tropical climate. Solar Energy, Elsevier, 2013, 98, pp.349-365. ⟨10.1016/j.solener.2013.09.018⟩. ⟨hal-00903410⟩
    • Rudy Calif, Richard Emilion, Ted Soubdhan. Classification of wind speed distributions using a mixture of Dirichlet mixtures. Renewable Energy, Elsevier, 2011, 36, pp.3091-3097. ⟨10.1016/j.renene.2011.03.024⟩. ⟨hal-01527881⟩
    • Ted Soubdhan, Richard Emilion, Rudy Calif. Classification of daily solar radiation distributions using a mixture of Dirichlet distributions. Solar Energy, Elsevier, 2009, 83 (7), pp.1056-1063. ⟨10.1016/j.solener.2009.01.010⟩. ⟨hal-02462662⟩
    • Ted Soubdhan, T. Feuillard, F. Bade. Experimental evaluation of insulation material in roofing system under tropical climate. Solar Energy, Elsevier, 2005, 79 (3), pp.311-320. ⟨10.1016/j.solener.2004.10.009⟩. ⟨hal-02462666⟩

    Conference papers3 documents

    • Ted Soubdhan, Cyril Voyant, Philippe Lauret. INFLUENCE OF GLOBAL SOLAR RADIATION TYPICAL DAYS ON FORECASTING MODELS ERROR. The Third Southern African Solar Energy Conference (SASEC2015), May 2015, Kruger National Park, South Africa. ⟨hal-01099487⟩
    • Ted Soubdhan, R. Emilion. Stochastic Differential Equation for Modeling Global Solar Radiation Sequences. Modelling, Identification, and Control, Nov 2010, GOSIER, France. ⟨10.2316/P.2010.702-099⟩. ⟨hal-01823269⟩
    • Sebastien Regis, Ted Soubdhan, Rudy Calif, Mohammed Abadi, Ruddy Blonbou. Singularity detection in solar radiation signal using wavelet transform. IEEE PES, Jun 2007, Florida, United States. pp.1-5, ⟨10.1109/PES.2007.386160⟩. ⟨hal-02488598⟩

    Book sections1 document

    • Harry Boyer, Frédéric Miranville, Dimitri Bigot, Stéphane Guichard, Idriss Ingar, et al.. Heat transfer in buildings : application to air solar heating and Trombe wall design. InTech. Evaporation, condensation and heat transfer, InTech, pp.227-244, 2011, 978-953-307-583-9. ⟨10.5772/23025⟩. ⟨hal-00767482⟩

    Preprints, Working Papers, ...1 document

    • Azeddine Frimane, Ted Soubdhan, Jamie Bright, Mohammed Aggour. Nonparametric Bayesian-based recognition of solar irradiance conditions: Application to the generation of high temporal resolution synthetic solar irradiance data. 2019. ⟨hal-02062839⟩