Forensically discovering simulation feedback knowledge from a campus energy information system. - Clayton Miller; Arno Schlueter (SpringSim (SimAUD), 2015)

Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings. - Clayton Miller (BuildSys, 2017)

Towards Class-Balancing Human Comfort Datasets with GANs. - Matias Quintana; Clayton Miller (BuildSys, 2019)

EnergyStar++: Towards more accurate and explanatory building energy benchmarking. - Pandarasamy Arjunan; Kameshwar Poolla; Clayton Miller (CoRR, 2019)

More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data. - Clayton Miller (Mach. Learn. Knowl. Extr., 2019)

Balancing thermal comfort datasets: We GAN, but should we? - Matias Quintana; Stefano Schiavon; Kwok Wai Tham; Clayton Miller (BuildSys, 2020)

Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces. - Tapeesh Sood; Patrick Janssen; Clayton Miller (CoRR, 2020)

Build2Vec: Building Representation in Vector Space. - Mahmoud Abdelrahman; Adrian Chong; Clayton Miller (CoRR, 2020)

Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models. - Prageeth Jayathissa; Matias Quintana; Mahmoud Abdelrahman; Clayton Miller (CoRR, 2020)

The ASHRAE Great Energy Predictor III competition: Overview and results. - Clayton Miller; Pandarasamy Arjunan; Anjukan Kathirgamanathan; Chun Fu; Jonathan Roth; June Young Park; Chris Balbach; Krishnan Gowri; Zoltán Nagy 002; Anthony Fontanini; Jeff Haberl (CoRR, 2020)

Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. - Pandarasamy Arjunan; Gregory Dobler; Kyungmin Lee; Clayton Miller; Filip Biljecki; Kameshwar Poolla (BuildSys, 2021)

Fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identification. - Julien Leprince; Clayton Miller; Mario Frei; Henrik Madsen; Wim Zeiler (BuildSys, 2021)

Longitudinal personal thermal comfort preference data in the wild. - Matias Quintana; Mahmoud Abdelrahman; Mario Frei; Federico Tartarini; Clayton Miller (SenSys, 2021)

Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. - Clayton Miller; Bianca Picchetti; Chun Fu; Jovan Pantelic (CoRR, 2021)

Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. - Mahmoud Abdelrahman; Adrian Chong; Clayton Miller (CoRR, 2021)

Using Google Trends as a proxy for occupant behavior to predict building energy consumption. - Chun Fu; Clayton Miller (CoRR, 2021)

Review of machine learning techniques for mosquito control in urban environments. - Ananya Joshi 001; Clayton Miller (Ecol. Informatics, 2021)

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. - Chun Fu; Pandarasamy Arjunan; Clayton Miller (BuildSys, 2022)

Grey-Brick Buildings, an Open Data Set of Calibrated RC Models of Dutch Residential Building Heat Dynamics. - Julien Leprince; Clayton Miller; Henrik Madsen; Kaustav Basu; Rik van der Vlist; Wim Zeiler (SenSys, 2022)

Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants. - Clayton Miller; Yun Xuan Chua; Mario Frei; Matias Quintana (BuildSys, 2022)

ComfortLearn: enabling agent-based occupant-centric building controls. - Matias Quintana; Zoltán Nagy 002; Federico Tartarini; Stefano Schiavon; Clayton Miller (BuildSys, 2022)

Green Mark Certified Buildings Metadata from Singapore: Dataset. - Yi Ting Teo; Matias Quintana; Muhammad Zikry Bin Sabarudin; Charlene Tan; Adrian Chong; Clayton Miller (SenSys, 2022)

From model-centric to data-centric: a practical MPC implementation framework for buildings. - Sicheng Zhan; Matias Quintana; Clayton Miller; Adrian Chong (BuildSys, 2022)

Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. - Clayton Miller; Liu Hao; Chun Fu (CoRR, 2022)

Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models. - Mahmoud Abdelrahman; Clayton Miller (CoRR, 2022)

ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. - Matias Quintana; Till Stoeckmann; June Young Park; Marian Turowski; Veit Hagenmeyer; Clayton Miller (CoRR, 2022)

Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data. - Matias Quintana; Stefano Schiavon; Federico Tartarini; Joyce Kim; Clayton Miller (CoRR, 2022)

Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings. - Clayton Miller; Renee Christensen; Jin Kai Leong; Mahmoud Abdelrahman; Federico Tartarini; Matias Quintana; Andre Matthias Müller; Mario Frei (CoRR, 2022)

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization. - Martín Mosteiro-Romero; Clayton Miller; Adrian Chong; Rudi Stouffs (CoRR, 2022)

InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging. - Miguel Martin; Vasantha Ramani; Clayton Miller (CoRR, 2022)

Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection. - Federico Tartarini; Clayton Miller; Stefano Schiavon (CoRR, 2022)

Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. - Vasantha Ramani; Miguel Martin; Pandarasamy Arjunan; Adrian Chong; Kameshwar Poolla; Clayton Miller (CoRR, 2022)

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. - Chun Fu; Hussain Syed Kazmi; Matias Quintana; Clayton Miller (BuildSys, 2023)

Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics. - Clayton Miller; Matias Quintana; Mario Frei; Yun Xuan Chua; Chun Fu; Bianca Picchetti; Winston Yap; Adrian Chong; Filip Biljecki (BuildSys, 2023)

From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation. - Martín Mosteiro-Romero; Matias Quintana; Clayton Miller; Rudi Stouffs (BuildSys, 2023)

A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies. - Vasantha Ramani; Marcel Ignatius; Joie Lim; Filip Biljecki; Clayton Miller (BuildSys, 2023)

District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images. - Subin Lin; Vasantha Ramani; Miguel Martin; Pandarasamy Arjunan; Adrian Chong; Filip Biljecki; Marcel Ignatius; Kameshwar Poolla; Clayton Miller (CoRR, 2023)

Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces. - Kristi Maisha; Mario Frei; Matias Quintana; Yun Xuan Chua; Rishee Jain; Clayton Miller (CoRR, 2023)

Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. - Chun Fu; Matias Quintana; Zoltán Nagy 002; Clayton Miller (CoRR, 2023)

BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings. - Filippo Vittori; Chuan Fu Tan; Anna Laura Pisello; Adrian Chong; Clayton Miller (CoRR, 2023)

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas. - Vasantha Ramani; Pandarasamy Arjunan; Kameshwar Poolla; Clayton Miller (CoRR, 2023)

Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. - Antonio Liguori; Matias Quintana; Chun Fu; Clayton Miller; Jérôme Frisch; Christoph van Treeck (CoRR, 2023)

Mind the Hazard: Modeling and Interpreting Comfort with Personalized Sensing. - Yufei Zhang 007; Matteo Favero; Patrick Chwalek; Sailin Zhong; Denis Lalanne; Joseph A. Paradiso; Clayton Miller; Andrew J. Sonta (BuildSys, 2024)

Creating synthetic energy meter data using conditional diffusion and building metadata. - Chun Fu; Hussain Syed Kazmi; Matias Quintana; Clayton Miller (CoRR, 2024)

Exploring Urban Comfort through Novel Wearables and Environmental Surveys. - Patrick Chwalek; Sailin Zhong; Nathan Perry; Tianqi Liu; Clayton Miller; Hamed S. Alavi; Denis Lalanne; Joseph A. Paradiso (CoRR, 2024)

What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications. - Mahmoud Abdelrahman; Edgardo Macatulad; Binyu Lei; Matias Quintana; Clayton Miller; Filip Biljecki (CoRR, 2024)

Recommender systems and reinforcement learning for building control and occupant interaction: A text-mining driven review of scientific literature. - Wenhao Zhang; Matias Quintana; Clayton Miller (CoRR, 2024)

Sensors and Sensibilities: Exploring Interactions for Habitat Comfort with An Environmental-Physiological Sensing Eyewear In the Wild. - Sailin Zhong; Patrick Chwalek; Nathan Perry; David B. Ramsay; Clayton Miller; Denis Lalanne; Hamed S. Alavi; Joseph A. Paradiso (Int. J. Hum. Comput. Stud., 2025)

Make yourself comfortable: Nudging urban heat and noise mitigation with smartwatch-based Just-in-time Adaptive Interventions (JITAI). - Clayton Miller; Yun Xuan Chua; Matias Quintana; Binyu Lei; Filip Biljecki; Mario Frei (CoRR, 2025)