Machine Learning: What Happens to Energy Beyond the Meter?
The supply and use of energy to produce services such as personal mobility, comfort, cleanliness, etc is at the start of a radical transformation. Drastically reducing the use of fossil fuels (unless the CO2 is captured and stored) is one driver; however the expectations raised by the use of IT in other industries will increasingly drive decommoditisation of energy services. Suppliers will need to be much more intimate with the needs and actions of their customers to successfully meet them from a higher capital cost and less flexible system. The presentation will explore the role of machine learning in heating.
Andrew Haslett is Chief Engineer at the Energy Technologies Institute: a public-private partnership for energy technology development and demonstration, based in Loughborough. He joined the ETI as Strategy Director in April 2008, after a thirty year career in a large chemical company. He has worked across technology areas as varied as process engineering, materials design and manufacture and consumer science. His key responsibility is the capability to understand future plausible and attractive UK Energy Systems. His passion is innovation as a socio-technical system. He is a Fellow of the Royal Academy of Engineering, the IChemE and the RSA.