Degree completed in 2020.

Characterising temporal aspects of residential electricity consumption using advanced multivariate statistics



Aven's research aims to improve our understanding of energy consumption in US and UK households, focusing on how deeper insight into complex human-energy dynamics can inform energy policy and strategy for accelerating the low-carbon transition. His research addresses questions of both energy demand reduction and flexibility, providing evidence on how energy use can become more efficient as well as how it can become more flexible in order to enable further integration of renewable energy.

Aven primarily employs quantitative methods, using statistical and machine learning techniques to analyse novel data from households and to show how numerous factors influence energy consumption at time-scales ranging from hours to years. The goal of his research is to improve our knowledge of how to reduce or shift consumption patterns in households for the purpose of enabling a rapid transition to clean energy.

Prior to starting his PhD, Aven received a Master's degree in Environmental Change and Management from the University of Oxford. Before coming to Oxford, he worked in both private and public-sector roles, first for a start-up that is now the top loan provider for residential solar installations in the US and then for the White House Office of Energy and Climate Change. He grew up in the US state of Montana and received a BS in environmental and political science from Santa Clara University.

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