Clayton Miller

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Data Imputation

Urban Environments

Thermal Imaging

Top Venues

BuildSys@SenSys

Mach. Learn. Knowl. Extr.

Publications

Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller
Creating synthetic energy meter data using conditional diffusion and building metadata. CoRR (2024)
Martín Mosteiro-Romero, Matias Quintana, Clayton Miller, Rudi Stouffs
From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation. BuildSys@SenSys (2023)
Vasantha Ramani, Marcel Ignatius, Joie Lim, Filip Biljecki, Clayton Miller
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies. BuildSys@SenSys (2023)
Vasantha Ramani, Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas. CoRR (2023)
Antonio Liguori, Matias Quintana, Chun Fu, Clayton Miller, Jérôme Frisch, Christoph van Treeck
Opening the Black Box: Towards inherently interpretable energy data imputation models using building physics insight. CoRR (2023)
Subin Lin, Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Filip Biljecki, Marcel Ignatius, Kameshwar Poolla, Clayton Miller
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images. CoRR (2023)
Clayton Miller, Matias Quintana, Mario Frei, Yun Xuan Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, Filip Biljecki
Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics. BuildSys@SenSys (2023)
Chun Fu, Matias Quintana, Zoltán Nagy, Clayton Miller
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation. CoRR (2023)
Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller
Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. BuildSys@SenSys (2023)
Kristi Maisha, Mario Frei, Matias Quintana, Yun Xuan Chua, Rishee Jain, Clayton Miller
Utilizing wearable technology to characterize and facilitate occupant collaborations in flexible workspaces. CoRR (2023)
Filippo Vittori, Chuan Fu Tan, Anna Laura Pisello, Adrian Chong, Clayton Miller
BIM-to-BRICK: Using graph modeling for IoT/BMS and spatial semantic data interoperability within digital data models of buildings. CoRR (2023)
Clayton Miller, Yun Xuan Chua, Mario Frei, Matias Quintana
Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants. BuildSys@SenSys (2022)
Clayton Miller, Renee Christensen, Jin Kai Leong, Mahmoud Abdelrahman, Federico Tartarini, Matias Quintana, Andre Matthias Müller, Mario Frei
Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings. CoRR (2022)
Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Kameshwar Poolla, Clayton Miller
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. CoRR (2022)
Federico Tartarini, Clayton Miller, Stefano Schiavon
Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection. CoRR (2022)
Miguel Martin, Vasantha Ramani, Clayton Miller
InfraRed Investigation in Singapore (IRIS) Observatory: Urban heat island contributors and mitigators analysis using neighborhood-scale thermal imaging. CoRR (2022)
Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, Clayton Miller
Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data. CoRR (2022)
Matias Quintana, Till Stoeckmann, June Young Park, Marian Turowski, Veit Hagenmeyer, Clayton Miller
ALDI++: Automatic and parameter-less discord and outlier detection for building energy load profiles. CoRR (2022)
Matias Quintana, Zoltán Nagy, Federico Tartarini, Stefano Schiavon, Clayton Miller
ComfortLearn: enabling agent-based occupant-centric building controls. BuildSys@SenSys (2022)
Julien Leprince, Clayton Miller, Henrik Madsen, Kaustav Basu, Rik van der Vlist, Wim Zeiler
Grey-Brick Buildings, an Open Data Set of Calibrated RC Models of Dutch Residential Building Heat Dynamics. SenSys (2022)
Mahmoud Abdelrahman, Clayton Miller
Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models. CoRR (2022)
Yi Ting Teo, Matias Quintana, Muhammad Zikry Bin Sabarudin, Charlene Tan, Adrian Chong, Clayton Miller
Green Mark Certified Buildings Metadata from Singapore: Dataset. SenSys (2022)
Martín Mosteiro-Romero, Clayton Miller, Adrian Chong, Rudi Stouffs
Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization. CoRR (2022)
Sicheng Zhan, Matias Quintana, Clayton Miller, Adrian Chong
From model-centric to data-centric: a practical MPC implementation framework for buildings. BuildSys@SenSys (2022)
Chun Fu, Pandarasamy Arjunan, Clayton Miller
Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. BuildSys@SenSys (2022)
Clayton Miller, Liu Hao, Chun Fu
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. CoRR (2022)
Clayton Miller, Bianca Picchetti, Chun Fu, Jovan Pantelic
Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysis. CoRR (2021)
Julien Leprince, Clayton Miller, Mario Frei, Henrik Madsen, Wim Zeiler
Fifty shades of black: uncovering physical models from symbolic regressions for scalable building heat dynamics identification. BuildSys@SenSys (2021)
Pandarasamy Arjunan, Gregory Dobler, Kyungmin Lee, Clayton Miller, Filip Biljecki, Kameshwar Poolla
Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. BuildSys@SenSys (2021)
Matias Quintana, Mahmoud Abdelrahman, Mario Frei, Federico Tartarini, Clayton Miller
Longitudinal personal thermal comfort preference data in the wild. SenSys (2021)
Chun Fu, Clayton Miller
Using Google Trends as a proxy for occupant behavior to predict building energy consumption. CoRR (2021)
Ananya Joshi, Clayton Miller
Review of machine learning techniques for mosquito control in urban environments. Ecol. Informatics 61 (2021)
Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. CoRR (2021)
Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, Clayton Miller
Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models. CoRR (2020)
Tapeesh Sood, Patrick Janssen, Clayton Miller
Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces. CoRR (2020)
Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller
Balancing thermal comfort datasets: We GAN, but should we? CoRR (2020)
Mahmoud Abdelrahman, Adrian Chong, Clayton Miller
Build2Vec: Building Representation in Vector Space. CoRR (2020)
Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller
Balancing thermal comfort datasets: We GAN, but should we? BuildSys@SenSys (2020)
Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltán Nagy, Anthony Fontanini, Jeff Haberl
The ASHRAE Great Energy Predictor III competition: Overview and results. CoRR (2020)
Matias Quintana, Clayton Miller
Towards Class-Balancing Human Comfort Datasets with GANs. BuildSys@SenSys (2019)
Clayton Miller
More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data. Mach. Learn. Knowl. Extr. 1 (3) (2019)
Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
EnergyStar++: Towards more accurate and explanatory building energy benchmarking. CoRR (2019)
Clayton Miller
Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings. BuildSys@SenSys (2017)
Clayton Miller, Arno Schlueter
Forensically discovering simulation feedback knowledge from a campus energy information system. SpringSim (SimAUD) (2015)