LF Energy Summit Europe 2026

Detecting low-carbon technologies (LCTs) from smart meter data, and disaggregating their individual consumption profiles, is becoming increasingly important as electrification reshapes electricity systems. This interactive workshop will explore emerging approaches for technologies such as EVs, heat pumps, solar PV, and batteries from Advanced Metering Infrastructure (AMI), or smart meter, data using open and reproducible methods.

Hosted by researchers from the Centre for Net Zero, the session will combine presentations with collaborative, hands-on experimentation using open datasets and starter notebooks. Participants will explore machine learning and demand disaggregation techniques, discuss benchmarking and evaluation challenges, and consider the operational value of LCT detection for forecasting, flexibility, and network planning.

The workshop is designed to foster collaboration between researchers, industry practitioners, and open-source contributors working at the intersection of energy systems and data science. Whilst content is evolving, the focus will remain on practical experimentation, transparent methodologies, and community learning using open tools and datasets.