Clayton Miller

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Matias QuintanaSingapore-ETH CentreEmail yang diverifikasi di sec.ethz.ch
Arno Schlueter, Arno SchlüterETH ZürichEmail yang diverifikasi di arch.ethz.ch
Adrian ChongNational University of SingaporeEmail yang diverifikasi di nus.edu.sg
Mahmoud M. AbdelrahmanPhD - National University of SingaporeEmail yang diverifikasi di u.nus.edu
Chun FuNational University of SingaporeEmail yang diverifikasi di u.nus.edu
Filip BiljeckiAssistant Professor, Urban Analytics Lab, National University of SingaporeEmail yang diverifikasi di nus.edu.sg
Federico TartariniSenior Lecturer, The University of SydneyEmail yang diverifikasi di sydney.edu.au
Stefano SchiavonProfessor of Architecture and Civil & Environmental Engineering, UC BerkeleyEmail yang diverifikasi di berkeley.edu
Hussain KazmiKU LeuvenEmail yang diverifikasi di kuleuven.be
Jovan PantelicWell Living LabEmail yang diverifikasi di delos.com
Rishee K. JainAssociate Professor of Civil & Environmental Engineering, Stanford UniversityEmail yang diverifikasi di stanford.edu
Eric TeitelbaumPrinceton UniversityEmail yang diverifikasi di princeton.edu
XIAO, Fu LindaDepartment of Building Environment and Energy Engineering, The Hong Kong Polytechnic UniversityEmail yang diverifikasi di polyu.edu.hk
Zeynep Duygu TeklerPostdoctoral Research Fellow, University of OxfordEmail yang diverifikasi di eng.ox.ac.uk
Giorgia ChinazzoAssistant Professor - Northwestern UniversityEmail yang diverifikasi di northwestern.edu
Dusan LicinaAssistant Professor at EPFL | École polytechnique fédérale de LausanneEmail yang diverifikasi di epfl.ch
Patrick ChwalekPhD Candidate, MIT Media LabEmail yang diverifikasi di mit.edu
Joseph ParadisoProfessor, MIT Media LabEmail yang diverifikasi di media.mit.edu
Sailin ZhongPostdoc at ETH ZürichEmail yang diverifikasi di UNIFR.CH
Anna Laura PiselloUniversity of Perugia, Italy. Dept. of Engineering - CIRIAF Interuniversity research centreEmail yang diverifikasi di unipg.it

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Clayton Miller

National University of Singapore

Email yang diverifikasi di nus.edu.sg - Beranda

data science human-city interaction intelligent environments urban energy performance


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	294	2020
Automated daily pattern filtering of measured building performance data C Miller, Z Nagy, A Schlueter Automation in Construction 49, 1-17, 2015	207	2015
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	195	2020
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	184	2017
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	182	2018
EnergyStar++: Towards more accurate and explanatory building energy benchmarking P Arjunan, K Poolla, C Miller Applied Energy 276, 115413, 2020	153	2020
Humans-as-a-sensor for buildings—Intensive longitudinal indoor comfort models P Jayathissa, M Quintana, M Abdelrahman, C Miller Buildings 10 (10), 174, 2020	130	2020
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	114	2020
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	101	2019
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	94	2020
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	93	2022
Review of machine learning techniques for mosquito control in urban environments A Joshi, C Miller Ecological Informatics 61, 101241, 2021	87	2021
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	87	2021
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	80	2019
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	79	2014
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	74	2022
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	73	2017
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	64	2021
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	59	2019
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	55	2020

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