3 papers
physics.soc-ph2026
Fabric retrofit scenario analysis under uncertainty for an urban housing stock using machine learning
Yunfei Bai, Aaron Tesfa Tsion, Raúl Rosales +2
Fabric retrofit is central to decarbonising housing, and planning it depends on expected savings and their uncertainty. This study asks which upgrade saves most per dwelling and ac…
physics.soc-ph2026
Hidden urban exposure to energy-price shocks: spreading burdens and shifting hotspots
Yunfei Bai, Aaron Tesfa Tsion, Raúl Rosales +2
Cities need to anticipate where energy-price shocks could intensify hardship beyond established hotspots. How income distributions and fuel-price balances jointly shape this hidden…
cs.LG2026
Gated Multimodal Learning for Interpretable Property Energy Performance Prediction and Retrofit Scenario Analysis
Yunfei Bai, Aaron Tesfa Tsion, Raul Rosales +2
Achieving resilient and sustainable cities requires scalable approaches to decarbonising residential buildings, which account for about 20% of UK greenhouse gas emissions and 25% o…