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Ana Bušić
Researcher at École Normale Supérieure
Publications - 137
Citations - 1908
Ana Bušić is an academic researcher from École Normale Supérieure. The author has contributed to research in topics: Markov chain & Markov process. The author has an hindex of 19, co-authored 130 publications receiving 1648 citations. Previous affiliations of Ana Bušić include Versailles Saint-Quentin-en-Yvelines University & French Institute for Research in Computer Science and Automation.
Papers
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Journal ArticleDOI
Large-Scale Vehicle Sharing Systems: Analysis of Vélib'
TL;DR: A quantitative analysis of the pioneering large-scale bicycle sharing system, Vélib' in Paris, France, provides key insights on the functioning of such systems and serves to inform policy makers in other urban communities wanting to explore bicycle-sharing systems.
Journal ArticleDOI
Ancillary Service to the Grid Using Intelligent Deferrable Loads
TL;DR: In this article, a distributed control for automated demand response that can be used by grid operators as ancillary service for maintaining demand-supply balance is proposed, motivated by the need for decentralized decision making, and the need to avoid synchronization that can lead to large and detrimental spikes in demand.
Proceedings ArticleDOI
Ancillary service to the grid from deferrable loads: The case for intelligent pool pumps in Florida
TL;DR: This work focuses on pool pumps, and how they can be used to provide ancillary service to the grid for maintaining demand-supply balance, and introduces a Markovian Decision Process model for an individual pool pump.
Journal ArticleDOI
Reversibility and Further Properties of FCFS Infinite Bipartite Matching
TL;DR: A Loynes type scheme is used to show that if the system is stable there is a unique matching of the sequence over all the integers and dynamic reversibility is shown: if in every matched pair the authors exchange the positions of the items the resulting permuted sequences are again independent and i.i.d. is FCFS in reversed time.
Book ChapterDOI
Distributed Control Design for Balancing the Grid Using Flexible Loads
TL;DR: An emerging science for demand dispatch that will create virtual energy storage from flexible loads is described, which will be as controllable and predictable as a generator or fleet of batteries.