Toon, a leading European smart thermostat and energy display, enables users to control and monitor gas and electricity consumption in their homes. Using the energy data we collect from over 400,000 homes we have developed a new Energy Waste Checker app to give actionable advice to end users to ensure that they do not needlessly waste energy. We identify inefficient electrical appliances and suboptimal uses of central heating and hot water by applying disaggregation algorithms to the raw sensor data. In this talk Stephen will describe our how our novel disaggregation algorithms are implemented in Spark and will show how Toon uses cloud-based big data processing to offer data driven services to hundreds of thousands of users.
Session hashtag: #EUds10
Dr. Stephen Galsworthy is a data driven executive and advisor who loves to create products which address significant challenges. With an analytical background, including a Master’s degree and Ph.D. in Mathematics from Oxford University, he has been leading data science teams since 2011. Currently Stephen is Chief Data Officer at Quby, a leading company offering data driven home services technology and known for creating the in-home display and smart thermostat Toon. In this role, he is responsible for the creation of value from data and Quby’s overall product strategy to enable commodity suppliers such as utilities, banks and insurance companies to play a dominant role in the home services domain.