27 citations · 46 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 27 cited
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…
stat.ML2023★ 19 cited
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight
Antonio Liguori, Matias Quintana, Chun Fu +3
Missing data are frequently observed by practitioners and researchers in the building energy modeling community. In this regard, advanced data-driven solutions, such as Deep Learni…