Ellen Webborn

I am a Research Associate in Data Science and End Use Energy Demand at the UCL Energy Institute working on the Smart Energy Research Lab (SERL) project - developing a longitudinal smart meter dataset (with contextual data) for UK-based researchers.

Interests

  • Smart meter data
  • Machine learning
  • Power system operation and flexibility
  • Demand response
  • Energy consumption patterns
  • Fuel poverty

Education

  • PhD in Mathematics and Complexity Science, 2018

    University of Warwick

  • MSc in Complexity Science, 2012

    University of Warwick

  • BSc in Mathematics with Intercalated Year, 2011

    University of Warwick

Recent Posts

Why nuclear power will (and won't) stop climate change

I was recently interviewed by science communicator Simon Clark for his latest science video “Why nuclear power will (and won’t) stop climate change” (below). The final result is a brilliant deep dive into nuclear power, and the nuclear versus renewables decarbonisation debate.

Bringing papers alive with video abstracts

As an early-career researcher, building up a decent publication record can feel like a real battle. By the time you’ve finished your work and written it up according to your chosen journal’s particular specifications, the last thing you might feel like doing is spending more time getting it publication-ready.

Recent Publications

Champion the energy data revolution

Access to rich, high-quality datasets is widely considered to be vital for energy research and public policy. While smart metering has the potential to revolutionize access to energy consumption data, …

Natural Heterogeneity Prevents Synchronization of Fridges With Deterministic Frequency Control

Appliances that cycle on and off throughout the day, such as fridges, freezers, and air-conditioners can collectively provide second-by-second electricity supply-demand balancing known as frequency …

Analysis of international residential solar PV self-consumption

How much does installing solar photovoltaic (‘PV’) panels reduce domestic electricity bills? Despite over 800,000 households with solar panels in the UK today, we do not have a firm answer to this …

Utilising smart meter data for research and innovation in the UK

Great Britain aims to install 53 million smart electricity and gas meters in around 27 million domestic properties by 2020. Smart meters provide the potential for high-resolution electricity and gas …

The dynamics of thermostatically controlled loads for power system frequency control

Major changes are under way in our power grids. Until very recently, a few hundred, very large, dependable fossil-fuelled power stations were supplying power to consumers whose only role was to use energy whenever they wanted.

Contact