The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

A scalable, decentralised multi-issue negotiation protocol for energy exchange

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
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
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. International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, 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.

Text
Alam2015EmbeddedFonts.pdf - Accepted Manuscript
Download (171kB)

More information

Published date: 16 April 2015
Venue - Dates: International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015-07-25 - 2015-08-01
Organisations: Agents, Interactions & Complexity
Learn more about Agents, Interactions and Complexity research

Identifiers

Local EPrints ID: 376618
URI: http://eprints.soton.ac.uk/id/eprint/376618
PURE UUID: 8fa28e5a-2c92-4327-a0f7-630664af8ab0
ORCID for Enrico H. Gerding: ORCID iD orcid.org/0000-0001-7200-552X
ORCID for Sarvapali D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 05 May 2015 16:03
Last modified: 23 Jul 2022 01:55

Export record

Contributors

Author: Muddasser Alam
Author: Enrico H. Gerding ORCID iD
Author: Alex Rogers
Author: Sarvapali D. Ramchurn ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×