| Generalized additive models for large data sets SN Wood, Y Goude, S Shaw Journal of the Royal Statistical Society Series C: Applied Statistics 64 (1 …, 2015 | 405 | 2015 |
| Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting P Gaillard, Y Goude, R Nedellec International Journal of forecasting 32 (3), 1038-1050, 2016 | 277 | 2016 |
| Local short and middle term electricity load forecasting with semi-parametric additive models Y Goude, R Nedellec, N Kong IEEE transactions on smart grid 5 (1), 440-446, 2013 | 271 | 2013 |
| Fast calibrated additive quantile regression M Fasiolo, SN Wood, M Zaffran, R Nedellec, Y Goude Journal of the American Statistical Association 116 (535), 1402-1412, 2021 | 266 | 2021 |
| Scalable visualization methods for modern generalized additive models M Fasiolo, R Nedellec, Y Goude, SN Wood Journal of computational and Graphical Statistics 29 (1), 78-86, 2020 | 208 | 2020 |
| Modeling and forecasting daily electricity load curves: a hybrid approach H Cho, Y Goude, X Brossat, Q Yao Journal of the American Statistical Association 108 (501), 7-21, 2013 | 149 | 2013 |
| Adaptive conformal predictions for time series M Zaffran, O Féron, Y Goude, J Josse, A Dieuleveut International Conference on Machine Learning, 25834-25866, 2022 | 148 | 2022 |
| Short-term electricity load forecasting with generalized additive models A Pierrot, Y Goude Proceedings of ISAP power 2011, 2011 | 131 | 2011 |
| Forecasting electricity consumption by aggregating specialized experts: A review of the sequential aggregation of specialized experts, with an application to Slovakian and … M Devaine, P Gaillard, Y Goude, G Stoltz Machine Learning 90, 231-260, 2013 | 129 | 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 | 114 | 2014 |
| Adaptive methods for short-term electricity load forecasting during COVID-19 lockdown in France D Obst, J De Vilmarest, Y Goude IEEE transactions on power systems 36 (5), 4754-4763, 2021 | 101 | 2021 |
| A review of electric vehicle load open data and models Y Amara-Ouali, Y Goude, P Massart, JM Poggi, H Yan Energies 14 (8), 2233, 2021 | 97 | 2021 |
| qgam: Bayesian nonparametric quantile regression modeling in R M Fasiolo, SN Wood, M Zaffran, R Nedellec, Y Goude Journal of Statistical Software 100, 1-31, 2021 | 74 | 2021 |
| Forecasting electricity consumption by aggregating experts; how to design a good set of experts P Gaillard, Y Goude Modeling and stochastic learning for forecasting in high dimensions, 95-115, 2015 | 70 | 2015 |
| Aggregation of multi-scale experts for bottom-up load forecasting B Goehry, Y Goude, P Massart, JM Poggi IEEE Transactions on Smart Grid 11 (3), 1895-1904, 2019 | 61 | 2019 |
| Adaptive learning of smoothing functions: Application to electricity load forecasting A Ba, M Sinn, Y Goude, P Pompey Advances in neural information processing systems 25, 2012 | 56 | 2012 |
| Nonnegative matrix factorization for time series recovery from a few temporal aggregates J Mei, Y De Castro, Y Goude, G Hébrail International conference on machine learning, 2382-2390, 2017 | 52 | 2017 |
| Electricity forecasting using multi-stage estimators of nonlinear additive models V Thouvenot, A Pichavant, Y Goude, A Antoniadis, JM Poggi IEEE Transactions on Power Systems 31 (5), 3665-3673, 2015 | 45 | 2015 |
| Nonnegative matrix factorization with side information for time series recovery and prediction J Mei, Y De Castro, Y Goude, JM Azaïs, G Hébrail IEEE Transactions on Knowledge and Data Engineering 31 (3), 493-506, 2018 | 39 | 2018 |
| Forecasting high resolution electricity demand data with additive models including smooth and jagged components U Amato, A Antoniadis, I De Feis, Y Goude, A Lagache International Journal of Forecasting 37 (1), 171-185, 2021 | 37 | 2021 |
Matteo FasioloSenior Lecturer in Statistical Science, University of BristolAdresse e-mail validée de bristol.ac.uk
