56 citations · 126 across the 3 of their papers we have counts for
3 papers
Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu, Hussain Kazmi, Matias Quintana +1
Advances in machine learning and increased computational power have driven progress in energy-related research. However, limited access to private energy data from buildings hinder…
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Chun Fu, Matias Quintana, Zoltan Nagy +1
Building energy prediction and management has become increasingly important in recent decades, driven by the growth of Internet of Things (IoT) devices and the availability of more…
Cohort comfort models -- Using occupants' similarity to predict personal thermal preference with less data
Matias Quintana, Stefano Schiavon, Federico Tartarini +2
We introduce Cohort Comfort Models, a new framework for predicting how new occupants would perceive their thermal environment. Cohort Comfort Models leverage historical data collec…