Hélène Le Cadre

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In this article, we consider houses belonging to an eco-neighborhood in which inhabitants have the capacity to optimize dynamically the energy demand and the energy storage level so as to maximize their utility. The inhabitants’ preferences are characterized by their sensitivity toward comfort versus price, the optimal expected temperature in the house,(More)
This article proposes an original approach to predict the electric vehicles (EVs)’ energy demand in a charge station using a regret minimization learning approach. The problem is modelled as a two players game involving: on the one hand the EV drivers, whose demand is unknown and, on the other hand, the service provider who owns the charge station and wants(More)
N independent sources choose their provider depending on the perceived costs associated with each provider. The perceived cost is the sum of the price and quality of service proposed by the provider coefficiented by the source sensitivity to the quality of service. The source chooses the smallest cost provider or refuses to subscribe if all the perceived(More)
Radio spectrum allocation is essential to the provision of mobile communication services. The spectrum is a finite resource and can accomodate a limited number of simultaneous users at one time. Due to this scarcity, allocating traditional mobile licenses to new mobile operators is unrealizable and new entrants should bargain access to the networks of the(More)