Paul Raftery

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Stefano SchiavonProfessor of Arch. and Civil & Environmental Eng., University of California BerkeleyVerified email at berkeley.edu
Marcus Keanenational university of ireland galwayVerified email at nuigalway.ie
Daniel CoakleySustainability Manager at Lloyds Banking GroupVerified email at danielcoakley.com
Hui ZhangUniversity of California BerkeleyVerified email at berkeley.edu
Edward A. ArensUniversity of California, BerkeleyVerified email at berkeley.edu
Gabe FierroColorado School of Mines / National Renewable Energy LaboratoryVerified email at mines.edu
Therese E PefferCalifornia Institute for Energy & Environment, UC BerkeleyVerified email at berkeley.edu
Gwelen PaliagaTechnical Director, TRCVerified email at trcsolutions.com
James O'DonnellUniversity College Dublin, IrelandVerified email at ucd.ie
Carlos Duarte RoaCenter for the Built Environment (CBE)Verified email at berkeley.edu
Jonathan Woolley, PhDEmanant SystemsVerified email at berkeley.edu
Caroline KarmannAssociate Professor of Building Physics at HEIA-FRVerified email at hefr.ch
David CULLERUniversity of California, BerkeleyVerified email at berkeley.edu
Joyce KimAssistant Professor, Civil & Environmental Engineering, University of WaterlooVerified email at berkeley.edu
Marco PritoniLBNL, UC Berkeley, UC DavisVerified email at lbl.gov
Gail S. BragerUniversity of California, BerkeleyVerified email at berkeley.edu
Anand Krishnan PrakashLawrence Berkeley National LaboratoryVerified email at lbl.gov
Lindsay T. GrahamUniversity of California, BerkeleyVerified email at berkeley.edu
Jovan PantelicWell Living LabVerified email at delos.com
Ken BrutonLecturer in Engineering at University College CorkVerified email at ucc.ie

Paul Raftery

Professional Researcher, Center for the Built Environment, University of California Berkeley

Verified email at berkeley.edu - Homepage

Energy efficiency Buildings Simulation HVAC Fault detection & diagnosis


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A review of methods to match building energy simulation models to measured data D Coakley, P Raftery, M Keane Renewable and sustainable energy reviews 37, 123-141, 2014	1070	2014
Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning J Kim, Y Zhou, S Schiavon, P Raftery, G Brager Building and environment 129, 96-106, 2018	449	2018
Calibrating whole building energy models: An evidence-based methodology P Raftery, M Keane, J O’Donnell Energy and Buildings 43 (9), 2356-2364, 2011	411	2011
Calibrating whole building energy models: Detailed case study using hourly measured data P Raftery, M Keane, A Costa Energy and buildings 43 (12), 3666-3679, 2011	276	2011
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 (1), 368, 2020	171	2020
Occupant comfort and behavior: High-resolution data from a 6-month field study of personal comfort systems with 37 real office workers J Kim, F Bauman, P Raftery, E Arens, H Zhang, G Fierro, M Andersen, ... Building and Environment 148, 348-360, 2019	135	2019
Review of automated fault detection and diagnostic tools in air handling units K Bruton, P Raftery, B Kennedy, MM Keane, DTJ O’sullivan Energy efficiency 7, 335-351, 2014	105	2014
Comparison of mean radiant and air temperatures in mechanically-conditioned commercial buildings from over 200,000 field and laboratory measurements M Dawe, P Raftery, J Woolley, S Schiavon, F Bauman Energy and Buildings 206, 109582, 2020	85	2020
Calibration of whole building energy simulation models: detailed case study of a naturally ventilated building using hourly measured data D Coakley, P Raftery, P Molloy Building Simulation and Optimization, 57-64, 2012	82	2012
Comparing temperature and acoustic satisfaction in 60 radiant and all-air buildings C Karmann, S Schiavon, LT Graham, P Raftery, F Bauman Building and Environment 126, 431-441, 2017	80	2017
Calibration of a detailed BES model to measured data using an evidence-based analytical optimisation approach D Coakley, P Raftery, P Molloy, G White	80	2011
Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units K Bruton, P Raftery, P O'Donovan, N Aughney, MM Keane, DTJ O'Sullivan Automation in Construction 39, 70-83, 2014	76	2014
Mortar: an open testbed for portable building analytics G Fierro, M Pritoni, M AbdelBaky, D Lengyel, J Leyden, A Prakash, ... ACM Transactions on Sensor Networks (TOSN) 16 (1), 1-31, 2019	72	2019
Calibration of a detailed simulation model to energy monitoring system data: a methodology and case study P Raftery, M Keane, A Costa Building Simulation 2009 11, 1199-1206, 2009	67	2009
Comparative analysis of the AHU InFO fault detection and diagnostic expert tool for AHUs with APAR K Bruton, D Coakley, P Raftery, DO Cusack, MM Keane, DTJ O’sullivan Energy Efficiency 8, 299-322, 2015	61	2015
Ceiling fans: Predicting indoor air speeds based on full scale laboratory measurements P Raftery, J Fizer, W Chen, Y He, H Zhang, E Arens, S Schiavon, ... Building and Environment 155, 210-223, 2019	53	2019
Side-by-side laboratory comparison of space heat extraction rates and thermal energy use for radiant and all-air systems J Woolley, S Schiavon, F Bauman, P Raftery, J Pantelic Energy and Buildings 176, 139-150, 2018	53	2018
Performance analysis of an integrated UFAD and radiant hydronic slab system P Raftery, KH Lee, T Webster, F Bauman Applied Energy 90 (1), 250-257, 2012	53	2012
Ceiling fan air speeds around desks and office partitions Y Gao, H Zhang, E Arens, E Present, B Ning, Y Zhai, J Pantelic, M Luo, ... Building and Environment 124, 412-440, 2017	51	2017
Effects of furniture and contents on peak cooling load P Raftery, E Lee, T Webster, T Hoyt, F Bauman Energy and Buildings 85, 445-457, 2014	48	2014

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