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06/09/2023
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
The transport sector is a major contributor to greenhouse gas emissions ...
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01/24/2023
Adaptive Probabilistic Forecasting of Electricity (Net-)Load
We focus on electricity load forecasting under three important specifici...
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02/15/2022
Adaptive Conformal Predictions for Time Series
Uncertainty quantification of predictive models is crucial in decision-m...
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12/08/2021
Daily peak electrical load forecasting with a multi-resolution approach
In the context of smart grids and load balancing, daily peak load foreca...
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11/16/2021
Hierarchical transfer learning with applications for electricity load forecasting
The recent abundance of data on electricity consumption at different sca...
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10/01/2021
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting
We present the winning strategy of an electricity demand forecasting com...
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02/18/2021
Transfer Learning for Linear Regression: a Statistical Test of Gain
Transfer learning, also referred as knowledge transfer, aims at reusing ...
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09/14/2020
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France
The coronavirus disease 2019 (COVID-19) pandemic has urged many governme...
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09/03/2020
Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression
Probabilistic forecasting of electricity load curves is of fundamental i...
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07/07/2020
qgam: Bayesian non-parametric quantile regression modelling in R
Generalized additive models (GAMs) are flexible non-linear regression mo...
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05/20/2020
Additive stacking for disaggregate electricity demand forecasting
Future grid management systems will coordinate distributed production an...
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02/26/2020
Kalman Recursions Aggregated Online
In this article, we aim at improving the prediction of expert aggregatio...
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01/28/2019
Target Tracking for Contextual Bandits: Application to Demand Side Management
We propose a contextual-bandit approach for demand side management by of...
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09/27/2018
Scalable visualisation methods for modern Generalized Additive Models
In the last two decades the growth of computational resources has made i...
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09/19/2017
Nonnegative matrix factorization with side information for time series recovery and prediction
Motivated by the reconstruction and the prediction of electricity consum...
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10/05/2016
Recovering Multiple Nonnegative Time Series From a Few Temporal Aggregates
Motivated by electricity consumption metering, we extend existing nonneg...
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07/09/2012
