Quantifying the impact of uncertainties on decarbonised energy system design problems
Posts by Year
Research outputs can take a while to come fruition, so here we aim to share the results of our ongoing projects and the adventures of the team with. You’ll find a range of posts inclduing data visualisations, quick insights, and hot takes from our ongoing work. Check back here to read our latest updates here!
An overview of August social activities and visits
Probabilistic occupancy forecasting for risk-aware optimal ventilation through autoencoder Bayesian deep neural networks.
A Physics-based domain adaptation framework for energy modeling and forecasting in buildings.
Development of archetypes-based framework to model ground temperatures under cities
A digital twin for the Growing Underground farm is unveiled with new functionality including temperature forecasting
Differences in Energy Efficiency exist across all types and ages of houses but can be most severe amongst older homes.
“Φ-ML Meets Engineering” is a newly launched bi-monthly seminar series discussing applications of Physics-enhanced Machine Learning (Φ-ML) methods in Engine...
Although we’ve not seen each other in real life for a year now, we keep in touch with weekly zoom calls! Lockdown may make working harder sometimes, we’ve fo...