A model-based online mechanism with pre-commitment and its application to electric vehicle charging
Stein, Sebastian, Gerding, Enrico, Robu, Valentin and Jennings, Nick (2012) A model-based online mechanism with pre-commitment and its application to electric vehicle charging. In, Proc. 11th Int. Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Valencia, Spain, , 669-676.
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Description/Abstract
We introduce a novel online mechanism that schedules the allocation of an expiring and continuously-produced resource to self-interested agents with private preferences. A key application of our mechanism is the charging of pure electric vehicles, where owners arrive dynamically over time, and each owner requires a minimum amount of charge by its departure to complete its next trip. To truthfully elicit the agents' preferences in this setting, we introduce the new concept of pre-commitment: Whenever an agent is selected, our mechanism pre-commits to charging the vehicle by its reported departure time, but maintains flexibility about when the charging takes place and at what rate. Furthermore, to make effective allocation decisions we use a model-based approach by modifying Consensus, a well-known online optimisation algorithm. We show that our pre-commitment mechanism with modified Consensus incentivises truthful reporting. Furthermore, through simulations based on real-world data, we show empirically that the average utility achieved by our mechanism is 93% or more of the offline optimal.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity |
| Item ID: | 273082 |
| Date Deposited: | 02 Jan 2012 10:53 |
| Last Modified: | 12 Jul 2012 15:24 |
| Contributors: | Stein, Sebastian (Author) Gerding, Enrico (Author) Robu, Valentin (Author) Jennings, Nick (Author) |
| Date: | 2012 |
| Status: | Published |
| Further Information: | Google Scholar |
| URI: | http://eprints.soton.ac.uk/id/eprint/273082 |
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