Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. - Amadou Ba; Mathieu Sinn; Yannig Goude; Pascal Pompey (NIPS, 2012)

Forecasting electricity consumption by aggregating specialized experts - Marie Devaine; Pierre Gaillard; Yannig Goude; Gilles Stoltz (CoRR, 2012)

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)

Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models. - Yannig Goude; Raphaël Nedellec; Nicolas Kong (IEEE Trans. Smart Grid, 2014)

Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates. - Jiali Mei; Yohann de Castro; Yannig Goude; Georges Hébrail (ICML, 2017)

Target Tracking for Contextual Bandits: Application to Demand Side Management. - Margaux Brégère; Pierre Gaillard; Yannig Goude; Gilles Stoltz (ICML, 2019)

Textual Data for Time Series Forecasting. - David Obst; Badih Ghattas; Sandra Claudel; Jairo Cugliari; Yannig Goude; Georges Oppenheim (CoRR, 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)

Kalman Recursions Aggregated Online. - Eric Adjakossa; Yannig Goude; Olivier Wintenberger (CoRR, 2020)

Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. - David Obst; Joseph De Vilmarest; Yannig Goude (CoRR, 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)

A review of electric vehicle charging session open data: Poster. - Yvenn Amara-Ouali; Pascal Massart; Jean-Michel Poggi; Yannig Goude; Hui Yan (e-Energy, 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)

Daily peak electrical load forecasting with a multi-resolution approach. - Yvenn Amara-Ouali; Matteo Fasiolo; Yannig Goude; Hui Yan (CoRR, 2021)

qgam: Bayesian Nonparametric Quantile Regression Modeling in R. - Matteo Fasiolo; Simon N. Wood; Margaux Zaffran; Raphaël Nedellec; Yannig Goude (J. Stat. Softw., 2021)

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 (e-Energy, 2022)

Adaptive Conformal Predictions for Time Series. - Margaux Zaffran; Olivier Féron; Yannig Goude; Julie Josse; Aymeric Dieuleveut (ICML, 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)

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; et al. (CoRR, 2023)

Adaptive Forecasting of Extreme Electricity Load. - Omar Himych; Amaury Durand; Yannig Goude (ISMIS, 2024)

Leveraging Graph Neural Networks to Forecast Electricity Consumption. - Eloi Campagne; Yvenn Amara-Ouali; Yannig Goude; Argyris Kalogeratos (CoRR, 2024)

Conformal Prediction for Hierarchical Data. - Guillaume Principato; Yvenn Amara-Ouali; Yannig Goude; Bachir Hamrouche; Jean-Michel Poggi; Gilles Stoltz (CoRR, 2024)

Boosting diversity in regression ensembles. - Mathias Bourel; Jairo Cugliari; Yannig Goude; Jean-Michel Poggi (Stat. Anal. Data Min., 2024)

Textual data for electricity load forecasting. - David Obst; Sandra Claudel; Jairo Cugliari; Badih Ghattas; Yannig Goude; Georges Oppenheim (Qual. Reliab. Eng. Int., 2024)

Forecasting time series with constraints. - Nathan Doumèche; Francis R. Bach; Éloi Bedek; Gérard Biau; Claire Boyer; Yannig Goude (CoRR, 2025)

Towards Accurate Forecasting of Renewable Energy : Building Datasets and Benchmarking Machine Learning Models for Solar and Wind Power in France. - Eloi Lindas; Yannig Goude; Philippe Ciais (CoRR, 2025)

Plugging Attention into Power Grids: Towards Transparent Forecasting. - Eloi Campagne; Itai Zehavi; Yvenn Amara-Ouali; Yannig Goude; Argyris Kalogeratos (CoRR, 2025)