Our awesome PhD students Jose and June are heading to Rome to present our latest research on urban energy simulations and predictive algorithms. IEL showcases four papers at BS2019 (http://buildingsimulation2019.org):
[oral] Aguirre et al. “Electric Energy Consumer Characterization, Classification and Demand Forecasting using Convolutional Neural Networks” [poster] Felkner et al. “The Impact Of Climate Change And Envelope Retrofit On Building Energy Consumption, Comfort, And Overheating In Austin, Texas” [poster] Ulyanin et al. “Simultaneous Feature Extraction and Non-linear Clustering of Building Energy Profiles Encoded as Images” [oral] Park et al., “A Data-Driven Load Shape Profile Based Building Benchmarking: Comparing DOE Reference Buildings With A Large Metering Dataset”