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ORCIDClayton Miller
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2020 – today
- 2025
[i29]Clayton Miller, Yun Xuan Chua, Matias Quintana, Binyu Lei, Filip Biljecki, Mario Frei:
Make yourself comfortable: Nudging urban heat and noise mitigation with smartwatch-based Just-in-time Adaptive Interventions (JITAI). CoRR abs/2501.09530 (2025)- 2024
- [c18]Yufei Zhang
, Matteo Favero, Patrick Chwalek, Sailin Zhong, Denis Lalanne, Joseph A. Paradiso, Clayton Miller, Andrew J. Sonta:
Mind the Hazard: Modeling and Interpreting Comfort with Personalized Sensing. BuildSys 2024 - [i28]Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller:
Creating synthetic energy meter data using conditional diffusion and building metadata. CoRR abs/2404.00525 (2024) - [i27]Patrick Chwalek, Sailin Zhong, Nathan Perry, Tianqi Liu, Clayton Miller, Hamed S. Alavi, Denis Lalanne, Joseph A. Paradiso:
Exploring Urban Comfort through Novel Wearables and Environmental Surveys. CoRR abs/2408.08323 (2024) - [i26]Mahmoud Abdelrahman, Edgardo Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki:
What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications. CoRR abs/2409.19005 (2024) - [i25]Wenhao Zhang, Matias Quintana, Clayton Miller:
Recommender systems and reinforcement learning for building control and occupant interaction: A text-mining driven review of scientific literature. CoRR abs/2411.08734 (2024) - 2023
- [c17]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 2023: 278-279 - [c16]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 2023: 298-299 - [c15]Vasantha Ramani, Marcel Ignatius, Joie Lim, Filip Biljecki, Clayton Miller:
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies. BuildSys 2023: 421-428 - [c14]Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller:
Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. BuildSys 2023: 450-453 - [i24]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 abs/2305.01971 (2023) - [i23]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 abs/2307.00789 (2023) - [i22]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 abs/2307.05926 (2023) - [i21]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 abs/2307.13197 (2023) - [i20]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 abs/2310.04247 (2023) - [i19]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 abs/2311.16632 (2023) - 2022
- [c13]Sicheng Zhan, Matias Quintana, Clayton Miller, Adrian Chong:
From model-centric to data-centric: a practical MPC implementation framework for buildings. BuildSys 2022: 270-273 - [c12]Clayton Miller, Yun Xuan Chua, Mario Frei, Matias Quintana:
Towards smartwatch-driven just-in-time adaptive interventions (JITAI) for building occupants. BuildSys 2022: 336-339 - [c11]Chun Fu, Pandarasamy Arjunan, Clayton Miller:
Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. BuildSys 2022: 456-461 - [c10]Matias Quintana, Zoltán Nagy, Federico Tartarini, Stefano Schiavon, Clayton Miller:
ComfortLearn: enabling agent-based occupant-centric building controls. BuildSys 2022: 475-478 - [c9]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: 1011-1013 - [c8]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: 1067-1071 - [i18]Clayton Miller, Liu Hao, Chun Fu:
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned. CoRR abs/2202.02898 (2022) - [i17]Mahmoud Abdelrahman, Clayton Miller:
Targeting occupant feedback using digital twins: Adaptive spatial-temporal thermal preference sampling to optimize personal comfort models. CoRR abs/2202.10707 (2022) - [i16]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 abs/2203.06618 (2022) - [i15]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 abs/2208.03078 (2022) - [i14]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 abs/2208.06080 (2022) - [i13]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 abs/2210.06124 (2022) - [i12]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 abs/2210.11663 (2022) - [i11]Federico Tartarini, Clayton Miller, Stefano Schiavon:
Cozie Apple: An iOS mobile and smartwatch application for environmental quality satisfaction and physiological data collection. CoRR abs/2210.13977 (2022) - [i10]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 abs/2211.09288 (2022) - 2021
- [j2]Ananya Joshi, Clayton Miller:
Review of machine learning techniques for mosquito control in urban environments. Ecol. Informatics 61: 101241 (2021) - [c7]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 2021: 184-187 - [c6]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 2021: 345-348 - [c5]Matias Quintana, Mahmoud Abdelrahman, Mario Frei, Federico Tartarini, Clayton Miller:
Longitudinal personal thermal comfort preference data in the wild. SenSys 2021: 556-559 - [i9]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 abs/2106.13475 (2021) - [i8]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 abs/2111.00199 (2021) - [i7]Chun Fu, Clayton Miller:
Using Google Trends as a proxy for occupant behavior to predict building energy consumption. CoRR abs/2111.00426 (2021) - 2020
- [c4]Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller:
Balancing thermal comfort datasets: We GAN, but should we? BuildSys 2020: 120-129 - [i6]Tapeesh Sood, Patrick Janssen, Clayton Miller:
Spacematch: Using environmental preferences to match occupants to suitable activity-based workspaces. CoRR abs/2006.09570 (2020) - [i5]Mahmoud Abdelrahman, Adrian Chong, Clayton Miller:
Build2Vec: Building Representation in Vector Space. CoRR abs/2007.00740 (2020) - [i4]Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, Clayton Miller:
Humans-as-a-sensor for buildings: Intensive longitudinal indoor comfort models. CoRR abs/2007.02014 (2020) - [i3]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 abs/2007.06933 (2020) - [i2]Matias Quintana, Stefano Schiavon, Kwok Wai Tham, Clayton Miller:
Balancing thermal comfort datasets: We GAN, but should we? CoRR abs/2009.13154 (2020)
2010 – 2019
- 2019
- [j1]Clayton Miller:
More Buildings Make More Generalizable Models - Benchmarking Prediction Methods on Open Electrical Meter Data. Mach. Learn. Knowl. Extr. 1(3): 974-993 (2019) - [c3]Matias Quintana, Clayton Miller:
Towards Class-Balancing Human Comfort Datasets with GANs. BuildSys 2019: 391-392 - [i1]Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller:
EnergyStar++: Towards more accurate and explanatory building energy benchmarking. CoRR abs/1910.14563 (2019) - 2017
- [c2]Clayton Miller:
Predicting success of energy savings interventions and industry type using smart meter and retrofit data from thousands of non-residential buildings. BuildSys 2017: 17:1-17:4 - 2015
- [c1]Clayton Miller, Arno Schlueter:
Forensically discovering simulation feedback knowledge from a campus energy information system. SpringSim (SimAUD) 2015: 136-143
Coauthor Index
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last updated on 2025-02-24 22:29 CET by the dblp team
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