This work proposes mean field game-type models for two instances of large- scale energy systems, namely plug-in electric vehicles and thermostatically controlled loads. Theoretical and numerical analysis show that both systems possess an equilibrium configuration which is optimal for the individuals and beneficial for the overall population
International audienceVehicle to Grid (V2G) concept concerns the ability to inject the power contain...
27 pages, 5 figuresWe consider a stylized model for a power network with distributed local power gen...
International audienceIn this article, we investigate the competitive interaction between electrical...
This chapter introduces mean field games to capture the mutual interaction between a population and ...
In this article, we investigate the competitive interaction between electrical vehicles or hybrid oi...
In this article, we investigate the competitive interaction between electrical vehicles or hybrid oi...
Constrained charging control of large populations of Plug-in Electric Vehicles (PEVs) is addressed u...
For a population of electric vehicles (EVs) we design a datadriven mean-field game and provide analy...
This paper applies mean field game theory to dynamic demand management. For a large population of el...
International audienceWe consider large population of interacting mobile devices with individual sta...
This work contains a model of an electricity market consisting of consumers who own batteries that t...
We develop a strategy, with concepts from Mean Field Games (MFG), to coordinate the charging of a la...
We explore a game theoretic framework for multiple energy producers competing in energy market. Each...
This paper presents a Mean Field (MF) control approach for demand side management of large populatio...
This work was supported in part by the ARC Energies Région Rhône-Alpes, in part by the ANR PARADISE ...
International audienceVehicle to Grid (V2G) concept concerns the ability to inject the power contain...
27 pages, 5 figuresWe consider a stylized model for a power network with distributed local power gen...
International audienceIn this article, we investigate the competitive interaction between electrical...
This chapter introduces mean field games to capture the mutual interaction between a population and ...
In this article, we investigate the competitive interaction between electrical vehicles or hybrid oi...
In this article, we investigate the competitive interaction between electrical vehicles or hybrid oi...
Constrained charging control of large populations of Plug-in Electric Vehicles (PEVs) is addressed u...
For a population of electric vehicles (EVs) we design a datadriven mean-field game and provide analy...
This paper applies mean field game theory to dynamic demand management. For a large population of el...
International audienceWe consider large population of interacting mobile devices with individual sta...
This work contains a model of an electricity market consisting of consumers who own batteries that t...
We develop a strategy, with concepts from Mean Field Games (MFG), to coordinate the charging of a la...
We explore a game theoretic framework for multiple energy producers competing in energy market. Each...
This paper presents a Mean Field (MF) control approach for demand side management of large populatio...
This work was supported in part by the ARC Energies Région Rhône-Alpes, in part by the ANR PARADISE ...
International audienceVehicle to Grid (V2G) concept concerns the ability to inject the power contain...
27 pages, 5 figuresWe consider a stylized model for a power network with distributed local power gen...
International audienceIn this article, we investigate the competitive interaction between electrical...