AgentSwitch: Towards smart energy teriff selection

Sarvapali D. Ramchum, Michael A. Osborne, Oliver Parson, Talal Rahwan, Sasan Maleki, Steve Reece, Trung D. Huynh, Mudasser Alam, Joel E. Fischer, Tom Rodden, Luc Moreau, Stephen Roberts

Research output: Contribution to conferencePaper

Abstract

We present AgentSwitch, a prototype agent-based platform to solve the tariff selection problem for homeowners. AgentSwitch incorporates novel algorithms that work on the coarse data provided by smart meters to make predictions of hourly energy usage as well as detect (and suggest to the user) deferrable loads that could be shifted to off-peak times to maximise savings. Our demo will allow users to interact with AgentSwitch and explore test user accounts in order to understand the impact of different usage profiles and appliance loads.

Original languageEnglish (US)
Pages1401-1402
Number of pages2
StatePublished - 2013
Event12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, United States
Duration: May 6 2013May 10 2013

Other

Other12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013
CountryUnited States
CitySaint Paul, MN
Period5/6/135/10/13

Keywords

  • Electricity
  • Group Buying
  • Optimisation
  • Provenance
  • Recommender Systems
  • Smart Grid

ASJC Scopus subject areas

  • Artificial Intelligence

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