Clayton Miller

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

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Clayton Miller

National University of Singapore

Preverjeni e-poštni naslov na nus.edu.sg - Domača stran

data science human-city interaction intelligent environments urban energy performance


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	293	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	183	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	152	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	92	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	85	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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