Towards appliance usage prediction for home energy management

Truong, Ngoc Cuong, Tran-Thanh, Long, Costanza, Enrico and Ramchurn, Sarvapali D. (2013) Towards appliance usage prediction for home energy management. ACM E-Energy 2013, United States. 21 - 24 May 2013. 2 pp .

Record type: Conference or Workshop Item (Poster)

PDF

e_energy2013.pdf - Other

Download (190kB)

More information

Published date: 22 April 2013

Venue - Dates: ACM E-Energy 2013, United States, 2013-05-21 - 2013-05-24

Related URLs:

http://conferences.sigcomm.org...ergy/2013/

Keywords: usage prediction, home energy management

Organisations: Agents, Interactions & Complexity

Learn more about Agents, Interactions & Complexity research

Identifiers

Local EPrints ID: 351240

URI: https://eprints.soton.ac.uk/id/eprint/351240

PURE UUID: 775f0918-fe31-48bf-83c5-a27cd3eec0d7

ORCID for Long Tran-Thanh:

orcid.org/0000-0003-1617-8316

ORCID for Sarvapali D. Ramchurn:

orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 22 Apr 2013 09:30

Last modified: 06 Jun 2018 12:42

Export record

Contributors

Author: Ngoc Cuong Truong

Author: Long Tran-Thanh

Author: Enrico Costanza

Author: Sarvapali D. Ramchurn

University divisions

Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Agents, Interactions & Complexity (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Agents, Interactions and Complexity > Agents, Interactions & Complexity (pre 2018 reorg)
School of Electronics and Computer Science > Agents, Interactions and Complexity > Agents, Interactions & Complexity (pre 2018 reorg)

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