Paul Raftery
Paul Raftery
Professional Researcher, Center for the Built Environment, University of California Berkeley
Verifisert e-postadresse på berkeley.edu - Startside
Sitert av
Sitert av
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
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
Calibrating whole building energy models: An evidence-based methodology
P Raftery, M Keane, J O’Donnell
Energy and Buildings 43 (9), 2356-2364, 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
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
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
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
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
Calibration of a detailed BES model to measured data using an evidence-based analytical optimisation approach
D Coakley, P Raftery, P Molloy, G White
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
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
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
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
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
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
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
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
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
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
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
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