The University of Southampton
University of Southampton Institutional Repository

Recommending Energy Tariffs and Load Shifting Based on Smart Household Usage Profiling

Record type: Conference or Workshop Item (Paper)

We present a system and study of personalized energy-related recommendation. AgentSwitch utilizes electricity usage data collected from users' households over a period of time to realize a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. The web service is driven by a third party real-time energy tariff API (uSwitch), an energy data store, a set of algorithms for usage prediction, and appliance-level load disaggregation. We present the system design and user evaluation consisting of interviews and interface walkthroughs. We recruited participants from a previous study during which three months of their household's energy use was recorded to evaluate personalized recommendations in AgentSwitch. Our contributions are a) a systems architecture for personalized energy services; and b) findings from the evaluation that reveal challenges in designing energy-related recommender systems. In response to the challenges we formulate design recommendations to mitigate barriers to switching tariffs, to incentivize load shifting, and to automate energy management.

PDF IUI2013-agentswitch-camera-ready.pdf - Other
Download (1MB)
PDF p383-fischer.pdf - Other
Download (1MB)

Citation

Fischer, Joel E., Ramchurn, Sarvapali D., Osborne, Michael A., Parson, Oliver, Huynh, Trung Dong, Alam, Muddasser, Pantidi, Nadia, Moran, Stuart, Bachour, Khaled, Reece, Steven, Costanza, Enrico, Rodden, Tom and Jennings, Nicholas R. (2013) Recommending Energy Tariffs and Load Shifting Based on Smart Household Usage Profiling At International Conference on Intelligent User Interfaces, United States. 19 - 22 Mar 2013. , pp. 383-394. (doi:10.1145/2449396.2449446).

More information

Published date: March 2013
Venue - Dates: International Conference on Intelligent User Interfaces, United States, 2013-03-19 - 2013-03-22
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 346991
URI: http://eprints.soton.ac.uk/id/eprint/346991
ISBN: 978-1-4503-1965-2
PURE UUID: 18dd881e-4889-4768-955c-15f66c567797
ORCID for Sarvapali D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302
ORCID for Trung Dong Huynh: ORCID iD orcid.org/0000-0003-4937-2473

Catalogue record

Date deposited: 15 Jan 2013 09:43
Last modified: 18 Jul 2017 05:00

Export record

Altmetrics

Contributors

Author: Joel E. Fischer
Author: Sarvapali D. Ramchurn ORCID iD
Author: Michael A. Osborne
Author: Oliver Parson
Author: Trung Dong Huynh ORCID iD
Author: Muddasser Alam
Author: Nadia Pantidi
Author: Stuart Moran
Author: Khaled Bachour
Author: Steven Reece
Author: Enrico Costanza
Author: Tom Rodden
Author: Nicholas R. Jennings

University divisions

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

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.

×