Matias Quintana 
- (2024): A data-driven agent-based model of occupants’ thermal comfort behaviors for the planning of district-scale flexible work arrangements. In: Building and Environment, v. 257 (Juni 2024).
- (2024): Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. In: Energy and Buildings, v. 310 (Mai 2024).
- (2023): Ten questions concerning reinforcement learning for building energy management. In: Building and Environment, v. 241 (August 2023).
- (2023): Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data. In: Building and Environment, v. 227 (Januar 2023).
- (2019): The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy building. In: Journal of Physics: Conference Series, v. 1343, n. 1 (1 November 2019).
- (2022): ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. In: Energy and Buildings, v. 265 (Juni 2022).
- (2020): Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Humans-as-a-Sensor for Buildings — Intensive Longitudinal Indoor Comfort Models. In: Buildings, v. 10, n. 10 (24 September 2020).
Structurae kooperiert mit
