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A Scoring Rule-Based Mechanism for Aggregate Demand Prediction in the Smart Grid

Record type: Conference or Workshop Item (Paper)

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.

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Citation

Rose, Harry, Rogers, Alex and Gerding, Enrico H. (2012) A Scoring Rule-Based Mechanism for Aggregate Demand Prediction in the Smart Grid At The 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Spain. 8 pp, pp. 661-668.

More information

Published date: June 2012
Venue - Dates: The 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), Spain, 2012-06-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 273139
URI: http://eprints.soton.ac.uk/id/eprint/273139
PURE UUID: c10bf68f-ca5d-4285-8470-a652a9a0a736

Catalogue record

Date deposited: 23 Jan 2012 14:39
Last modified: 18 Jul 2017 06:16

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Contributors

Author: Harry Rose
Author: Alex Rogers
Author: Enrico H. Gerding

University divisions

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