Philipp Ströhle

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We design new algorithms for the problem of allocating uncertain, flexible, and multi-unit demand online given uncertain supply, in order to maximise social welfare. The algorithms can be seen as extensions of the expectation and consensus algorithms from the domain of online scheduling. The problem is especially relevant to the future smart grid, where(More)
Passenger transportation has become more diverse in the recent past. New providers and transportation services are reeling up markets around the world. Together with the rise of the sharing economy, substantial ramifications for the transportation sector emerge. As a result of an increasing number of mobility options, the traveler can choose from a richer(More)
Electric vehicle (EV) charging loads may challenge grid stability due to a combination of high charging power and temporal clustering of charging activity. Hence, EV charging needs to be coordinated appropriately. Prior work addressing this challenge focused on static charging strategies responding to exogenous price vectors. We extend this work in two(More)
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