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ORCIDYannig Goude
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2020 – today
- 2024
[j8]David Obst
, Sandra Claudel, Jairo Cugliari, Badih Ghattas, Yannig Goude, Georges Oppenheim:
Textual data for electricity load forecasting. Qual. Reliab. Eng. Int. 40(8): 4187-4208 (2024)- [j7]Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi:
Boosting diversity in regression ensembles. Stat. Anal. Data Min. 17(1) (2024) - [c7]Omar Himych, Amaury Durand, Yannig Goude:
Adaptive Forecasting of Extreme Electricity Load. ISMIS 2024: 201-215 - [i11]Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos:
Leveraging Graph Neural Networks to Forecast Electricity Consumption. CoRR abs/2408.17366 (2024) - [i10]Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stoltz:
Conformal Prediction for Hierarchical Data. CoRR abs/2411.13479 (2024) - 2023
- [i9]Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sébastien Treguer, Tiphaine Phe-Neau:
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge. CoRR abs/2306.06142 (2023) - 2022
- [j6]David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim:
Improved linear regression prediction by transfer learning. Comput. Stat. Data Anal. 174: 107499 (2022) - [c6]Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Matthew Bishara:
A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data. e-Energy 2022: 193-207 - [c5]Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, Aymeric Dieuleveut:
Adaptive Conformal Predictions for Time Series. ICML 2022: 25834-25866 - [i8]Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron, Yannig Goude, Julie Josse:
Adaptive Conformal Predictions for Time Series. CoRR abs/2202.07282 (2022) - 2021
- [j5]Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude:
qgam: Bayesian Nonparametric Quantile Regression Modeling in R. J. Stat. Softw. 100(9) (2021) - [c4]Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan:
A review of electric vehicle charging session open data: Poster. e-Energy 2021: 278-279 - [i7]David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude:
Transfer Learning for Linear Regression: a Statistical Test of Gain. CoRR abs/2102.09504 (2021) - [i6]Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude, Hui Yan:
Daily peak electrical load forecasting with a multi-resolution approach. CoRR abs/2112.04492 (2021) - 2020
- [j4]Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi:
Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. IEEE Trans. Smart Grid 11(3): 1895-1904 (2020) - [i5]Eric Adjakossa, Yannig Goude, Olivier Wintenberger:
Kalman Recursions Aggregated Online. CoRR abs/2002.12173 (2020) - [i4]David Obst, Joseph De Vilmarest, Yannig Goude:
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. CoRR abs/2009.06527 (2020)
2010 – 2019
- 2019
- [j3]Jiali Mei, Yohann de Castro, Yannig Goude, Jean-Marc Azaïs, Georges Hébrail:
Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction. IEEE Trans. Knowl. Data Eng. 31(3): 493-506 (2019) - [c3]Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
Target Tracking for Contextual Bandits: Application to Demand Side Management. ICML 2019: 754-763 - [i3]Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
Target Tracking for Contextual Bandits: Application to Demand Side Management. CoRR abs/1901.09532 (2019) - [i2]David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim:
Textual Data for Time Series Forecasting. CoRR abs/1910.12618 (2019) - 2017
- [c2]Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail:
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. ICML 2017: 2382-2390 - 2014
- [j2]Yannig Goude, Raphaël Nedellec, Nicolas Kong:
Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models. IEEE Trans. Smart Grid 5(1): 440-446 (2014) - 2013
- [j1]Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions. Mach. Learn. 90(2): 231-260 (2013) - 2012
- [c1]Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey:
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS 2012: 2519-2527 - [i1]Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz:
Forecasting electricity consumption by aggregating specialized experts. CoRR abs/1207.1965 (2012)
Coauthor Index
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