Clayton Miller 
- (2024): Creating synthetic energy meter data using conditional diffusion and building metadata. In: Energy and Buildings, v. 312 (Juni 2024).
- (2023): How good is the advice from ChatGPT for building science? Comparison of four scenarios. In: Journal of Physics: Conference Series, v. 2600, n. 8 (1 November 2023).
- (2023): The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research. In: Journal of Physics: Conference Series, v. 2600, n. 3 (1 November 2023).
- (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): International Comparison of Weather and Emission Predictive Building Control. In: Buildings, v. 14, n. 1 (31 Dezember 2023).
- (2024): InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging. In: Energy and Buildings, v. 307 (März 2024).
- (2024): Experimental evaluation of thermal adaptation and transient thermal comfort in a tropical mixed-mode ventilation context. In: Building and Environment, v. 248 (Januar 2024).
- (2023): Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. In: Energy and Buildings, v. 287 (Mai 2023).
- (2023): Experimental assessment of thermal and acoustics interactions on occupant comfort in mixed-mode buildings. In: Building and Environment, v. 238 (Juni 2023).
- (2023): Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization. In: Building and Environment, v. 237 (Juni 2023).
- (2023): A hybrid active learning framework for personal thermal comfort models. In: Building and Environment, v. 234 (April 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).
- (2022): Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. In: Science and Technology for the Built Environment, v. 28, n. 5 (April 2022).
- (2022): Low-Cost Thermohygrometers to Assess Thermal Comfort in the Built Environment: A Laboratory Evaluation of Their Measurement Performance. In: Buildings, v. 12, n. 5 (24 April 2022).
- (2022): Fifty shades of grey: Automated stochastic model identification of building heat dynamics. In: Energy and Buildings, v. 266 (Juli 2022).
- (2022): ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. In: Energy and Buildings, v. 265 (Juni 2022).
- (2022): BEEM: Data-driven building energy benchmarking for Singapore. In: Energy and Buildings, v. 260 (April 2022).
- (2022): Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhood. In: Energy and Buildings, v. 263 (Mai 2022).
- (2021): Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance data. In: Energy and Buildings, v. 248 (Oktober 2021).
- (2021): Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. In: Energy and Buildings, v. 242 (Juli 2021).
- (2020): Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering. In: Building Simulation, v. 14, n. 1 (November 2020).
- (2020): Bayesian calibration at the urban scale: a case study on a large residential heating demand application in Amsterdam. In: Journal of Building Performance Simulation, v. 13, n. 3 (März 2020).
- (2020): The ASHRAE Great Energy Predictor III competition: Overview and results. In: Science and Technology for the Built Environment, v. 26, n. 10 (Oktober 2020).
- (2017): Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings. In: Energy and Buildings, v. 156 (Dezember 2017).
- (2020): Design with Comfort: Expanding the psychrometric chart with radiation and convection dimensions. In: Energy and Buildings, v. 209 (Februar 2020).
- (2020): Humans-as-a-Sensor for Buildings — Intensive Longitudinal Indoor Comfort Models. In: Buildings, v. 10, n. 10 (24 September 2020).
- (2020): Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation. In: Building and Environment, v. 178 (Juli 2020).
- (2018): Comparing the indoor environmental quality of a displacement ventilation and passive chilled beam application to conventional air-conditioning in the Tropics. In: Building and Environment, v. 130 (Februar 2018).
- (2015): Automated daily pattern filtering of measured building performance data. In: Automation in Construction, v. 49 (Januar 2015).
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