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A massive use of electric vehicles is nowadays considered to be a key elementof a sustainable transportation policy and the availability of chargingstations is a crucial issue for their extensive use. Charging stations in anurban area have to be deployed in such a way that they can satisfy a demandthat may dramatically vary in space and time. In this paper we present anoptimization model for the location of charging stations that takes intoaccount the main specific features of the problem, in particular the differentcharging technologies, and their associated service time, and the fact that thedemand depends on space and time. To measure the importance of incorporatingthe time dependence in an optimization model, we also present a simpler modelthat extends a classical location model and does not include the temporaldimension. A worst-case analysis and extensive computational experiments showthat ignoring the temporal dimension of the problem may lead to a substantialamount of unsatisfied demand.

Incorporating time-dependent demand patterns in the optimal location of capacitated charging stations