DATA-DRIVEN MEAN-FIELD GAME APPROXIMATION FOR A POPULATION OF ELECTRIC VEHICLES

Dario Bauso, Toru Namerikawa

OnderzoeksoutputAcademicpeer review

82 Downloads (Pure)

Samenvatting

For a population of electric vehicles (EVs) we design a datadriven mean-field game and provide analysis of approximated
mean-field equilibrium points based on a receding horizon approach. The model involves stochastic disturbances on the
data that drive the game. Some numerical studies illustrate
the efficacy of the proposed strategies.
Originele taal-2English
TitelProceedings of the 2019 IEEE Data Science Workshop (DSW)
UitgeverijIEEE
Pagina's285-289
ISBN van geprinte versie978-1-7281-0708-0
DOI's
StatusPublished - 2019
Evenement2019 IEEE Data Science Workshop (DSW) - Minneapolis, United States
Duur: 2-jun.-20195-jun.-2019

Workshop

Workshop2019 IEEE Data Science Workshop (DSW)
Land/RegioUnited States
StadMinneapolis
Periode02/06/201905/06/2019

Citeer dit