425 citations
- École PolytechniqueFR256 papers
- Centre National de la Recherche ScientifiqueFR59 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR15 papers
- Laboratoire de Mathématiques Blaise PascalFR14 papers
- Centre de Recherche en Mathématiques de la DécisionFR12 papers
- Institut national de recherche en sciences et technologies du numériqueFR12 papers
- Université Paris NanterreFR12 papers
- Université Paris-SaclayFR11 papers
- Laboratoire Analyse et Modélisation pour la Biologie et l'EnvironnementFR10 papers
- Centre Inria de SaclayFR9 papers
- Institut Universitaire de FranceFR9 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR9 papers
22 papers · 1 filter
Analysis and Implementation of a Hourly Billing Mechanism for Demand Response Management
Paulin Jacquot, Olivier Beaude, Stéphane Gaubert +1
An important part of the Smart Grid literature on residential Demand Response deals with game-theoretic consumption models. Among those papers, the hourly billing model is of speci…
High-dimensional robust regression and outliers detection with SLOPE
Alain Virouleau, Agathe Guilloux, Stéphane Gaïffas +1
The problems of outliers detection and robust regression in a high-dimensional setting are fundamental in statistics, and have numerous applications. Following a recent set of work…
Demand Response in the Smart Grid: the Impact of Consumers Temporal Preferences
Paulin Jacquot, Olivier Beaude, Nadia Oudjane +1
In Demand Response programs, price incentives might not be sufficient to modify residential consumers load profile. Here, we consider that each consumer has a preferred profile and…
Demand Side Management in the Smart Grid: an Efficiency and Fairness Tradeoff
Paulin Jacquot, Olivier Beaude, Stéphane Gaubert +1
We compare two Demand Side Management (DSM) mechanisms, introduced respectively by Mohsenian-Rad et al (2010) and Baharlouei et al (2012), in terms of efficiency and fairness. Each…
Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors
Esther Derman, Erwan Le Pennec
In this study, we consider unsupervised clustering of categorical vectors that can be of different size using mixture. We use likelihood maximization to estimate the parameters of…
Efficient tracking of a growing number of experts
Jaouad Mourtada, Odalric-Ambrym Maillard
We consider a variation on the problem of prediction with expert advice, where new forecasters that were unknown until then may appear at each round. As often in prediction with ex…