A Scoring Rule-Based Mechanism for Aggregate Demand Prediction in the Smart Grid
Rose, Harry, Rogers, Alex and Gerding, Enrico 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, 8pp, 661-668.
- Accepted Version
PDF (The poster of this work, which was presented at AAMAS 2012)
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 (Paper)|
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Agents, Interactions & Complexity
|Date Deposited:||23 Jan 2012 14:39|
|Last Modified:||22 Feb 2013 11:41|
|Contributors:||Rose, Harry (Author)
Rogers, Alex (Author)
Gerding, Enrico H. (Author)
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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