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Number of documents

3

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

 


2016   

Journal articles3 documents

  • 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⟩
  • Maïna André, Sophie Dabo-Niang, Ted Soubdhan, Hanany Ould-Baba. Predictive spatio-temporal model for spatially sparse global solar radiation data. Energy, Elsevier, 2016, 111, pp.599 - 608. ⟨10.1016/j.energy.2016.06.004⟩. ⟨hal-01823261⟩