My PhD research focuses on the ways in which machine learning techniques can be used to break down household electricity data into individual appliances. My supervisors are Dr Alex Rogers and Dr Mark Weal, and my PhD is funded by the ALADDIN Project, although my research is more tightly linked to the ORCHID Project.
Video describing my PhD work
Disaggregated Homes Blog
I write a blog which covers recent advancements in the field energy disaggregation in both academia and industry. Here are a few of the most interesting posts:
My work forms part of AgentSwitch; a software agent created as part of the ORCHID project to help people manage their household's electricity consumption. The agent uses smart meter data and knowledge of its residents' preferences to autonomously switch to the best electricity tariff, while also offering suggestions for how the occupants can optimise their energy consumption. We recently had two different papers accepted at IUI-2013 and AAMAS-2013, full details of which are available on my publications page.
I have also worked on the New Forest Cicada Project. The New Forest Cicada is the only cicada native to the UK. During May to July it sings with a very characteristic high-pitched song which is at the limits of human hearing. Sightings of the cicada within the New Forest date back to 1812, but the last unconfirmed sighting was in 2000. However, it's quite likely that colonies remain undiscovered in less visited parts of the forest. The New Forest Cicada Project aims to equip the millions of visitors to the forest with a smart phone app that can detect and recognise the song of the cicada, and hopes to rediscover it in 2013.
I've made my NIALM reference library public which can be accessed via the Mendeley public group.
I have previously reviewed for the following venues:
I demonstrate in the following undergraduate Computer Science labs: