A scalable, decentralised multi-issue negotiation protocol for energy exchange
A scalable, decentralised multi-issue negotiation protocol for energy exchange
We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our protocol is concurrent, scalable and; under certain conditions; leads to Pareto-optimal outcomes.
Alam, Muddasser
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Gerding, Enrico H.
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Rogers, Alex
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Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
16 April 2015
Alam, Muddasser
9a8f7f5d-2a65-4933-8903-d48445358eb8
Gerding, Enrico H.
d9e92ee5-1a8c-4467-a689-8363e7743362
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Ramchurn, Sarvapali D.
1d62ae2a-a498-444e-912d-a6082d3aaea3
Alam, Muddasser, Gerding, Enrico H., Rogers, Alex and Ramchurn, Sarvapali D.
(2015)
A scalable, decentralised multi-issue negotiation protocol for energy exchange.
At International Joint Conference on Artificial Intelligence (IJCAI)
International Joint Conference on Artificial Intelligence (IJCAI), Argentina.
25 Jul - 01 Aug 2015.
7 pp.
Record type:
Conference or Workshop Item
(Paper)
Abstract
We present a novel negotiation protocol to facilitate energy exchange between off-grid homes that are equipped with renewable energy generation and electricity storage. Our protocol imposes restrictions over negotiation such that it reduces the complex interdependent multi-issue negotiation to one where agents have a strategy profile in subgame perfect Nash equilibrium. We show that our protocol is concurrent, scalable and; under certain conditions; leads to Pareto-optimal outcomes.
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Published date: 16 April 2015
Venue - Dates:
International Joint Conference on Artificial Intelligence (IJCAI), Argentina, 2015-07-25 - 2015-08-01
Organisations:
Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 376618
URI: https://eprints.soton.ac.uk/id/eprint/376618
PURE UUID: 8fa28e5a-2c92-4327-a0f7-630664af8ab0
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Date deposited: 05 May 2015 16:03
Last modified: 06 Jun 2018 12:42
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Contributors
Author:
Muddasser Alam
Author:
Enrico H. Gerding
Author:
Sarvapali D. Ramchurn
University divisions
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