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Clayton Miller
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Introducing IEA EBC annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation
W O'Brien, A Wagner, M Schweiker, A Mahdavi, J Day, MB Kjærgaard, ...
Building and Environment 178, 106738, 2020
2942020
Automated daily pattern filtering of measured building performance data
C Miller, Z Nagy, A Schlueter
Automation in Construction 49, 1-17, 2015
2072015
The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition
C Miller, A Kathirgamanathan, B Picchetti, P Arjunan, JY Park, Z Nagy, ...
Scientific Data 7, 368, 2020
1952020
The Building Data Genome Project: An open, public data set from non-residential building electrical meters
C Miller, F Meggers
Energy Procedia 122, 439-444, 2017
1842017
A review of unsupervised statistical learning and visual analytics techniques applied to performance analysis of non-residential buildings
C Miller, Z Nagy, A Schlueter
Renewable and Sustainable Energy Reviews 81 (1), 1365-1377, 2018
1822018
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
P Arjunan, K Poolla, C Miller
Applied Energy 276, 115413, 2020
1532020
Humans-as-a-sensor for buildings—Intensive longitudinal indoor comfort models
P Jayathissa, M Quintana, M Abdelrahman, C Miller
Buildings 10 (10), 174, 2020
1312020
The ASHRAE Great Energy Predictor III competition: Overview and results
C Miller, P Arjunan, A Kathirgamanathan, C Fu, J Roth, JY Park, ...
Science and Technology for the Built Environment 26 (10), 1427-1447, 2020
1142020
Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
JY Park, X Yang, C Miller, P Arjunan, Z Nagy
Applied energy 236, 1280-1295, 2019
1012019
SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods
J Roth, A Martin, C Miller, RK Jain
Applied Energy 280, 115981, 2020
942020
Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec
MM Abdelrahman, A Chong, C Miller
Building and Environment 207 (Part B), 108532, 2022
932022
Review of machine learning techniques for mosquito control in urban environments
A Joshi, C Miller
Ecological Informatics 61, 101241, 2021
872021
Project Coolbit: Can your watch predict heat stress and thermal comfort sensation?
N Nazarian, S Liu, M Kohler, JKW Lee, C Miller, WTL Chow, SBB Alhadad, ...
Environmental Research Letters 16 (3), 1-15, 2021
872021
Is your clock-face cozie? A smartwatch methodology for the in-situ collection of occupant comfort data
P Jayathissa, M Quintana, T Sood, N Nazarian, C Miller
Journal of Physics: Conference Series 1343 (1), 2019
802019
Balancing envelope and heating system parameters for zero emissions retrofit using building sensor data
Z Nagy, D Rossi, C Hersberger, SD Irigoyen, C Miller, A Schlueter
Applied energy 131, 56-66, 2014
792014
Infrared thermography in the built environment: A multi-scale review
M Martin, A Chong, F Biljecki, C Miller
Renewable and sustainable energy reviews 165, 112540, 2022
742022
Mining electrical meter data to predict principal building use, performance class, and operations strategy for hundreds of non-residential buildings
C Miller, F Meggers
Energy and Buildings 156, 360-373, 2017
732017
Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature
MM Abdelrahman, S Zhan, C Miller, A Chong
Energy and Buildings 242, 110885, 2021
642021
What's in the box?! Towards explainable machine learning applied to non-residential building smart meter classification
C Miller
Energy and Buildings 199, 523-536, 2019
602019
Bayesian calibration at the urban scale: A case study on a large residential heating demand application in Amsterdam
CK Wang, S Tindemans, C Miller, G Agugiaro, J Stoter
Journal of Building Performance Simulation 13 (3), 347-361, 2020
552020
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