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    8

    CV


    Cyril


    Mathieu David   

    Journal articles7 documents

    • Dazhi Yang, Stefano Alessandrini, Javier Antonanzas, Fernando Antonanzas-Torres, Viorel Badescu, et al.. Verification of deterministic solar forecasts. Solar Energy, Elsevier, 2020, ⟨10.1016/j.solener.2020.04.019⟩. ⟨hal-02899290⟩
    • Dazhi Yang, Stefano Alessandrini, Javier Antonanzas, Fernando Antonanzas-Torres, Viorel Badescu, et al.. Verification of deterministic solar forecasts. Solar Energy, Elsevier, 2020, 210, pp.20-37. ⟨10.1016/j.solener.2020.04.019⟩. ⟨hal-03053222⟩
    • 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-02462656⟩
    • 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⟩
    • 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, Elsevier, 2015, 90, pp.671-679. ⟨10.1016/j.energy.2015.07.089⟩. ⟨hal-02462672⟩

    Conference papers1 document

    • Philippe Lauret, Auline Rodler, Marc Muselli, Mathieu David, Hadja Maïmouna Diagne, et al.. A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. WREF 2012 : World Renewable Energy Forum, May 2012, Denver, United States. pp.1. ⟨hal-00682217⟩