Paul Raftery
Paul Raftery
CBE, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
5592014
Calibrating whole building energy models: An evidence-based methodology
P Raftery, M Keane, J O’Donnell
Energy and Buildings 43 (9), 2356-2364, 2011
3162011
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
2012011
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
1602018
Calibration of a detailed simulation model to energy monitoring system data: a methodology and case study
P Raftery, M Keane, A Costa
Proceedings of the 11th IBPSA Conference, Glasgow, UK, 2009
532009
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 (2), 335-351, 2014
492014
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
First building simulation and optimization conference, 57-64, 2012
492012
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
462012
Calibration of a detailed BES model to measured data using an evidence-based analytical optimisation approach
D Coakley, P Raftery, P Molloy, G White
Proceedings of Building Simulation 2011, 2011
462011
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
372014
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
362019
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
292014
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
282017
Key factors methodology—A novel support to the decision making process of the building energy manager in defining optimal operation strategies
A Costa, MM Keane, P Raftery, J O’Donnell
Energy and buildings 49, 158-163, 2012
262012
Visualizing patterns in building performance data
P Raftery, M Keane
Proceedings of Building Simulation 2011: 12th Conference of International …, 2011
252011
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 (2), 299-322, 2015
242015
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
222017
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
192018
Full scale laboratory experiment on the cooling capacity of a radiant floor system
J Pantelic, S Schiavon, B Ning, E Burdakis, P Raftery, F Bauman
Energy and Buildings 170, 134-144, 2018
182018
Evaluation of a cost-responsive supply air temperature reset strategy in an office building
P Raftery, S Li, B Jin, M Ting, G Paliaga, H Cheng
Energy and Buildings 158, 356-370, 2018
182018
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Articles 1–20