2 Papers accepted at AAMAS and IUI on AgentSwitch

As part of the ORCHID project, we recently had two papers accepted at international conferences based on AgentSwitch; a domestic energy recommendation platform. AgentSwitch utilises electricity usage data collected from households over a period of time, to realise a range of smart energy-related recommendations on energy tariffs, load detection and usage shifting. I've been responsible for the load detection module of AgentSwitch over the past few months, and am looking forward to improving it over the final year of my PhD. The following two papers provide two different perspectives on the project. The first gives the algorithmic detail and accuracy evaluations of the individual system modules. The second describes a user evaluation of AgentSwitch, which reveals the strengths and weaknesses of the system as an energy-related recommender system.

• Sarvapali Ramchurn, Michael Osborne, Oliver Parson, Sasan Maleki, Talal Rahwan, Trung Dong Huynh, Steve Reece, Muddasser Alam, Joel Fischer, Greg Hines, Enrico Costanza, Luc Moreau, Tom Rodden. AgentSwitch: Towards Smart Energy Tariff Selection. In: 12th International Conference on Autonomous Agents and Multi-Agent Systems. Saint Paul, Minnesota, USA. 2013.

• Joel Fischer, Sarvapali Ramchurn, Michael Osborne, Oliver Parson, Trung Dong Huynh, Muddasser Alam, Nadia Pantidi, Stuart Moran, Kaled Bachour, Steve Reece, Enrico Costanza, Tom Rodden, Nicholas Jennings. Recommending Energy Tariffs and Load Shifting Based on Smart Household Usage Profiling. In: International Conference on Intelligent User Interfaces. Santa Monica, CA, USA. 2013.

It seems that papers follow the same rule as British buses; you wait ages for one and then two arrive at the same time.