Urban building energy modeling, load inference and model calibration, and the software that runs them at city scale.
Selective computation of representative sensors reduces ray-tracing evaluations by 67.4% at a mean WMAPE of 2.6%, while preserving full sensor and surface coverage.
Python
A city-scale utility digital twin and energy simulation platform that integrates building models, geospatial data, smart-meter observations, and physical simulation.
C# · ASP.NET · Python · DuckDB
Physics-supervised inverse surrogate learning to infer building energy model parameters from hourly smart-meter data, with uncertainty-aware calibration at urban scale.
