Matias Quintana 
- (2024): Creating synthetic energy meter data using conditional diffusion and building metadata. Dans: Energy and Buildings, v. 312 (juin 2024).
- (2023): The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. Dans: Journal of Physics: Conference Series, v. 2600, n. 3 (1 novembre 2023).
- (2024): A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements. Dans: Building and Environment, v. 257 (juin 2024).
- (2024): Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. Dans: Energy and Buildings, v. 310 (mai 2024).
- (2023): Ten questions concerning reinforcement learning for building energy management. Dans: Building and Environment, v. 241 (août 2023).
- (2023): Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data. Dans: Building and Environment, v. 227 (janvier 2023).
- (2019): The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy building. Dans: Journal of Physics: Conference Series, v. 1343, n. 1 (1 novembre 2019).
- (2022): ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. Dans: Energy and Buildings, v. 265 (juin 2022).
- (2020): Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering. Dans: Building Simulation, v. 14, n. 1 (novembre 2020).
- (2020): Humans-as-a-Sensor for Buildings — Intensive Longitudinal Indoor Comfort Models. Dans: Buildings, v. 10, n. 10 (24 septembre 2020).
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