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
Stephen Galsworthy is the Head of Data Science at Toon, a leading European producer of smart thermostats. In this role, he is responsible for the development of data driven services for residential energy customers and utilities. Before this, he worked as a consultant at TNO developing smart grid technology for the Dutch and European markets. Prior to this, he led a Data Science and Engineering team in London focusing on developing novel demand response technologies. Stephen holds both a Master's degree and Ph.D. in Mathematics from Oxford University.