Yannig Goude

According to our database, Yannig Goude authored at least 22 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Boosting diversity in regression ensembles.

Mathias Bourel, Jairo Cugliari, Yannig Goude, Jean-Michel Poggi

Stat. Anal. Data Min., February, 2024

Leveraging Graph Neural Networks to Forecast Electricity Consumption.

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

CoRR, 2024

Adaptive Forecasting of Extreme Electricity Load.

Omar Himych, Amaury Durand, Yannig Goude

Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024

2023

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge.

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

CoRR, 2023

2022

Improved linear regression prediction by transfer learning.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

Comput. Stat. Data Anal., 2022

Adaptive Conformal Predictions for Time Series.

Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, Aymeric Dieuleveut

Proceedings of the International Conference on Machine Learning, 2022

A benchmark of electric vehicle load and occupancy models for day-ahead forecasting on open charging session data.

Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Matthew Bishara

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

qgam: Bayesian Nonparametric Quantile Regression Modeling in R.

Matteo Fasiolo, Simon N. Wood, Margaux Zaffran, Raphaël Nedellec, Yannig Goude

J. Stat. Softw., 2021

Daily peak electrical load forecasting with a multi-resolution approach.

Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude, Hui Yan

CoRR, 2021

Transfer Learning for Linear Regression: a Statistical Test of Gain.

David Obst, Badih Ghattas, Jairo Cugliari, Georges Oppenheim, Sandra Claudel, Yannig Goude

CoRR, 2021

A review of electric vehicle charging session open data: Poster.

Yvenn Amara-Ouali, Pascal Massart, Jean-Michel Poggi, Yannig Goude, Hui Yan

Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2020

Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting.

Benjamin Goehry, Yannig Goude, Pascal Massart, Jean-Michel Poggi

IEEE Trans. Smart Grid, 2020

Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France.

David Obst, Joseph De Vilmarest, Yannig Goude

CoRR, 2020

Kalman Recursions Aggregated Online.

Eric Adjakossa, Yannig Goude, Olivier Wintenberger

CoRR, 2020

2019

Nonnegative Matrix Factorization with Side Information for Time Series Recovery and Prediction.

Jiali Mei, Yohann de Castro, Yannig Goude, Jean-Marc Azaïs, Georges Hébrail

IEEE Trans. Knowl. Data Eng., 2019

Textual Data for Time Series Forecasting.

David Obst, Badih Ghattas, Sandra Claudel, Jairo Cugliari, Yannig Goude, Georges Oppenheim

CoRR, 2019

Target Tracking for Contextual Bandits: Application to Demand Side Management.

Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates.

Jiali Mei, Yohann de Castro, Yannig Goude, Georges Hébrail

Proceedings of the 34th International Conference on Machine Learning, 2017

2014

Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models.

Yannig Goude, Raphaël Nedellec, Nicolas Kong

IEEE Trans. Smart Grid, 2014

2013

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.

Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz

Mach. Learn., 2013

2012

Forecasting electricity consumption by aggregating specialized experts

Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz

CoRR, 2012

Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting.

Amadou Ba, Mathieu Sinn, Yannig Goude, Pascal Pompey

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012