| Clustering functional data using wavelets A Antoniadis, X Brossat, J Cugliari, JM Poggi International Journal of Wavelets, Multiresolution and Information Processing, 2013 | 117 | 2013 |
| GEFCom2012: Electric load forecasting and backcasting with semi-parametric models R Nedellec, J Cugliari, Y Goude International Journal of forecasting 30 (2), 375-381, 2014 | 101 | 2014 |
| Game-Theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts CJ van Erven T. Modeling and Stochastic Learning for Forecasting in High Dimensions 217, 2015 | 58 | 2015 |
| Short-term electricity demand forecasting using a functional state space model K Nagbe, J Cugliari, J Jacques Energies 11 (5), 1120, 2018 | 37 | 2018 |
| A prediction interval for a function-valued forecast model: Application to load forecasting A Antoniadis, X Brossat, J Cugliari, JM Poggi International Journal of Forecasting 32 (3), 939-947, 2016 | 34 | 2016 |
| Prévision d'un processus à valeurs fonctionnelles en présence de non stationnarités. Application à la consommation d'électricité. A Antoniadis, X Brosat, J Cugliari, JM Poggi Journal de la Société Française de Statistique 153 (2), 52-78, 2012 | 31 | 2012 |
| Scalable clustering of individual electrical curves for profiling and bottom-up forecasting B Auder, J Cugliari, Y Goude, JM Poggi Energies 11 (7), 1893, 2018 | 24 | 2018 |
| Disaggregated electricity forecasting using wavelet-based clustering of individual consumers J Cugliari, Y Goude, JM Poggi 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 24 | 2016 |
| Prévision non paramétrique de processus à valeurs fonctionnelles: application à la consommation d'électricité J Cugliari Université Paris-Sud, FR, 2011 | 23 | 2011 |
| Une approche fonctionnelle pour la prévision non-paramétrique de la consommation d’électricité A Antoniadis, X Brossat, J Cugliari, JM Poggi Journal de la Société Française de Statistique 155 (2), 202-219, 2014 | 13 | 2014 |
| Conditional Autoregressive Hilbertian processes J Cugliari arxiv, 2013 | 9 | 2013 |
| Improved linear regression prediction by transfer learning D Obst, B Ghattas, S Claudel, J Cugliari, Y Goude, G Oppenheim Computational Statistics & Data Analysis 174, 107499, 2022 | 7* | 2022 |
| Predictive maintenance from event logs using wavelet-based features: an industrial application S Bonnevay, J Cugliari, V Granger 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 6 | 2020 |
| Boosting diversity in regression ensembles M Bourel, J Cugliari, Y Goude, JM Poggi | 4 | 2020 |
| Textual data for time series forecasting D Obst, B Ghattas, S Claudel, J Cugliari, Y Goude, G Oppenheim arXiv preprint arXiv:1910.12618, 2019 | 4 | 2019 |
| Imputation of temperature extremes using Generalized Additive Models J Cugliari, S De Mello, M Renom New Delhi: JDS, 2018 | 4 | 2018 |
| Electricity Demand Forecasting J Cugliari, JM Poggi Wiley StatsRef: Statistics Reference Online, 1-8, 2018 | 3* | 2018 |
| Electricity demand forecasting: The Uruguayan case A Castrillejo, J Cugliari, F Massa, I Ramirez Renewable Energy: Forecasting and Risk Management: Paris, France, June 7-9 …, 2018 | 3 | 2018 |
| Non parametric forecasting of functional-valued processes: application to the electricity load J Cugliari Universite Paris Sud, 2011 | 3 | 2011 |
| Monitoring geometrical properties of word embeddings for detecting the emergence of new topics C Christophe, J Velcin, J Cugliari, M Boumghar, P Suignard arXiv preprint arXiv:2111.03496, 2021 | 2 | 2021 |
Jean-Michel PoggiProfessor, Lab. Maths Orsay (LMO), Univ. Paris-Saclay & Université Paris, FranceVerified email at math.u-psud.fr
