Rose, H., Rogers, A. and Gerding, E. H. (2012) A Scoring Rule-Based Mechanism for Aggregate Demand Prediction in the Smart Grid. In: The 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Valencia, Spain.
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Abstract
This paper presents a novel scoring rule-based strictly dominant incentive compatible mechanism that encourages agents to produce costly estimates of future events and report them truthfully to a centre. Whereas prior work has assumed a fixed budget for payment towards agents, this work makes use of prior information held by the centre and assumes a budget that is determined by the savings made through the use of the agents' information over the centre's own prior information. This mechanism is compared to a simple benchmark mechanism wherein the savings are divided equally among all home agents, and a cooperative solution wherein agents act to maximise social welfare. Empirical analysis is performed in which the mechanism is applied to a simulation of the smart grid whereby an aggregator agent must use home agents' information to optimally purchase electricity. It is shown that this mechanism achieves up to 77% of the social welfare achieved by the cooperative solution.
| Item Type: | Conference or Workshop Item | ||||||
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| Research Group: | Current ECS Groups > Agents, Interaction and Complexity Old ECS Groups > Intelligence, Agents, Multimedia | ||||||
| Date: | June 2012 | ||||||
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| ID Code: | 23139 | ||||||
| Last Modified: | 12 Feb 2012 14:08 | ||||||
| Deposited On: | 23 Jan 2012 14:39 by Rose, Harry | ||||||
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