Full Name
Clayton Carl Miller
 
 
Email
bdgcm@nus.edu.sg
 

Publications

Results 21-39 of 39 (Search time: 0.02 seconds).

Issue DateTitleAuthor(s)
2125-Jun-2021Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysisMiller, Clayton ; Picchetti, Bianca; Fu, Chun; Pantelic, Jovan 
223-May-2022Limitations of machine learning for building energy prediction: ASHRAE Great Energy Predictor III Kaggle competition error analysisMILLER, CLAYTON ; PICCHETTI, BIANCA; FU, CHUN; PANTELIC, JOVAN
31-May-2022Low-Cost Thermohygrometers to Assess Thermal Comfort in the Built Environment: A Laboratory Evaluation of Their Measurement PerformanceSalamone, Francesco; Chinazzo, Giorgia; Danza, Ludovico; Miller, Clayton ; Sibilio, Sergio; Masullo, Massimiliano
41-Dec-2017Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildingsMiller, Clayton ; Meggers, Forrest
528-Jul-2019More Buildings Make More Generalizable Models—Benchmarking Prediction Methods on Open Electrical Meter DataMiller, Clayton 
61-Nov-2022Personal comfort models based on a 6-month experiment using environmental parameters and data from wearablesTartarini, Federico; Schiavon, Stefano; Quintana, Matias ; Miller, Clayton 
71-Jan-2022Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2VecAbdelrahman, Mahmoud M ; Chong, Adrian ; Miller, Clayton 
81-Mar-2021Project Coolbit: can your watch predict heat stress and thermal comfort sensation?Nazarian, Negin; Liu, Sijie; Kohler, Manon ; Lee, Jason KW ; Miller, Clayton ; Chow, Winston TL ; Alhadad, Sharifah Badriyah; Martilli, Alberto; Quintana, Matias; Sunden, Lindsey; Norford, Leslie K
930-Jul-2020Spacematch: Using Environmental Preferences to Match Occupants to Suitable Activity-Based WorkspacesSood, T ; Janssen, P ; Miller, C 
1015-Dec-2020SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methodsRoth, Jonathan ; Martin, Amory; Miller, Clayton ; Jain, Rishee K
1115-Jun-2022Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort modelsAbdelrahman, MM ; Miller, C 
1225-Aug-2020The ASHRAE Great Energy Predictor III competition: Overview and resultsClayton Miller ; Pandarasamy Arjunan; Anjukan Kathirgamanathan; Chun Fu; Jonathan Roth ; June Young Park; Chris Balbach; Krishnan Gowri; Zoltan Nagy; Anthony Fontanini; Jeff Haberl
131-Nov-2023The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance researchJin, Xiaoyu; Fu, Chun; Kazmi, Hussain; Balint, Atilla; Canaydin, Ada; Quintana, Matias ; Biljecki, Filip ; Xiao, Fu; Miller, Clayton 
1427-Oct-2020The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competitionMiller, Clayton ; Kathirgamanathan, Anjukan; Picchetti, Bianca; Arjunan, Pandarasamy; Park, June Young; Nagy, Zoltan; Raftery, Paul; Hobson, Brodie W; Shi, Zixiao; Meggers, Forrest
15Mar-2023Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor ComfortLiu, Pengyuan; Zhao, Tianhong; Luo, Junjie; Lei, Binyu ; Frei, Mario ; Miller, Clayton ; Biljecki, Filip 
161-Mar-2021Uncertainty Matters: Bayesian Probabilistic Forecasting for Residential Smart Meter Prediction, Segmentation, and Behavioral Measurement and VerificationRoth, Jonathan ; Chadalawada, Jayashree ; Jain, Rishee K; Miller, Clayton 
1715-Mar-2022Using Google Trends as a proxy for occupant behavior to predict buildingFu, Chun; Miller, Clayton 
181-May-2021Using Occupant-Centric Control for Commercial HVAC SystemsGunay, Burak; Nagy, Zoltan; Miller, Clayton ; Ouf, Mohamed; Dong, Bing 
19Sep-2019What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classificationMiller, Clayton