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Yannig Goude
Yannig Goude
EDF R&D, LMO Université Paris-Saclay
Verified email at edf.fr - Homepage
Title
Cited by
Cited by
Year
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
3772015
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
2562013
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
2552016
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
2302021
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
1802020
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
1442013
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
1252013
Short-term electricity load forecasting with generalized additive models
A Pierrot, Y Goude
Proceedings of ISAP power 2011, 2011
1232011
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
1122014
Adaptive conformal predictions for time series
M Zaffran, O Féron, Y Goude, J Josse, A Dieuleveut
International Conference on Machine Learning, 25834-25866, 2022
1032022
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
872021
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
822021
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
662015
qgam: Bayesian non-parametric quantile regression modelling in R
M Fasiolo, SN Wood, M Zaffran, R Nedellec, Y Goude
arXiv preprint arXiv:2007.03303, 2020
542020
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
522012
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
472019
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
432015
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
412017
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
372018
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
322021
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