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Clayton Carl Miller

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

Publications

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Subject:  Technology

Results 1-16 of 16 (Search time: 0.007 seconds).

Issue DateTitleAuthor(s)
115-Jun-2022ALDI plus plus : Automatic and parameter-less discord and outlier detection for building energy load profilesQuintana, Matias; Stoeckmann, Till; Park, June Young; Turowski, Marian; Hagenmeyer, Veit; Miller, Clayton 
215-Feb-2019Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse datasetPark, June Young; Yang, Xiya; Miller, Clayton ; Arjunan, Pandarasamy; Nagy, Zoltan
31-Apr-2022BEEM: Data-driven building energy benchmarking for SingaporeArjunan, Pandarasamy; Poolla, Kameshwar; Miller, Clayton 
423-Jun-2021Data mining cubes for buildings, a generic framework for multidimensional analytics of building performance dataLeprince, Julien; Miller, Clayton ; Zeiler, Wim
515-Feb-2020Design with Comfort: Expanding the psychrometric chart with radiation and convection dimensionsTeitelbaum, Eric; Jayathissa, Prageeth ; Miller, Clayton ; Meggers, Forrest
615-May-2022Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhoodKazmi, Hussain; Keijsers, Merel; Mehmood, Fahad; Miller, Clayton 
71-Jul-2020Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant -centric building design and operationO'Brien, William; Wagner, Andreas; Schweiker, Marcel; Mahdavi, Ardeshir; Day, Julia; Kjaergaard, Mikkel Baun; Carlucci, Salvatore; Dong, Bing; Tahmasebi, Farhang; Yan, Da; Hong, Tianzhen; Gunay, H Burak; Nagy, Zoltan; Miller, Clayton ; Berger, Christiane
81-Jan-2019Is your clock-face cozie? A smartwatch methodology for the in-situ collection of occupant comfort dataJayathissa, Prageeth ; Quintana, Matias; Sood, Tapeesh ; Nazarian, Negin; Miller, Clayton 
93-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
101-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
111-Nov-2022Personal comfort models based on a 6-month experiment using environmental parameters and data from wearablesTartarini, Federico; Schiavon, Stefano; Quintana, Matias ; Miller, Clayton 
121-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 
131-Jan-2019The SDE4 Learning Trail: Crowdsourcing occupant comfort feedback at a net-zero energy buildingSood, Tapeesh ; Quintana, Matias; Jayathissa, Prageeth ; AbdelRahman, Mahmoud ; Miller, Clayton 
141-Jan-2017Unsupervised load shape clustering for urban building performance assessmentFonseca, Jimeno A; Miller, Clayton ; Schlueter, Arno
1515-Mar-2022Using Google Trends as a proxy for occupant behavior to predict buildingFu, Chun; Miller, Clayton 
161-May-2021Using Occupant-Centric Control for Commercial HVAC SystemsGunay, Burak; Nagy, Zoltan; Miller, Clayton ; Ouf, Mohamed; Dong, Bing