Yannig Goude

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Electric Vehicle Charging

Nonnegative Matrix

Linear Regression

Load Forecasting

Top Venues

IEEE Trans. Smart Grid

Publications

Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi
Boosting diversity in regression ensembles. Stat. Anal. Data Min. 17 (1) (2024)
Omar Himych, Amaury Durand, Yannig Goude
Adaptive Forecasting of Extreme Electricity Load. ISMIS (2024)
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 (2023)
Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, Aymeric Dieuleveut
Adaptive Conformal Predictions for Time Series. ICML (2022)
Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron, Yannig Goude, Julie Josse
Adaptive Conformal Predictions for Time Series. CoRR (2022)
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)
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
Improved linear regression prediction by transfer learning. Comput. Stat. Data Anal. 174 (2022)
Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude, Hui Yan
Daily peak electrical load forecasting with a multi-resolution approach. CoRR (2021)
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)
David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude
Transfer Learning for Linear Regression: a Statistical Test of Gain. CoRR (2021)
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)
Eric Adjakossa, Yannig Goude, Olivier Wintenberger
Kalman Recursions Aggregated Online. CoRR (2020)
David Obst, Joseph De Vilmarest, Yannig Goude
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. CoRR (2020)
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) (2020)
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) (2019)
Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Target Tracking for Contextual Bandits: Application to Demand Side Management. CoRR (2019)
David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim
Textual Data for Time Series Forecasting. CoRR (2019)
Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Target Tracking for Contextual Bandits: Application to Demand Side Management. ICML (2019)
Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. ICML (2017)
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) (2014)
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) (2013)
Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Forecasting electricity consumption by aggregating specialized experts CoRR (2012)
Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey
Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. NIPS (2012)