Philip Haves

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	5749	1559
h-индекс	37	19
i10-индекс	88	36

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Публичен достъп

Преглед на всички

17 статии

2 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Peng Xu (许鹏）Tongji UniversityПотвърден имейл адрес: tongji.edu.cn
Mary Ann PietteLBNLПотвърден имейл адрес: lbl.gov
Michael WetterLBNL, Berkeley, CAПотвърден имейл адрес: lbl.gov
Brian CoffeyIndependentПотвърден имейл адрес: lbl.gov
Simon ReesProfessor of Building Energy Systems, Civil Engineering, University of LeedsПотвърден имейл адрес: leeds.ac.uk
Timothy SalsburyPacific Northwest National laboratoryПотвърден имейл адрес: pnnl.gov
Brandon HenceyAir Force Research LaboratoriesПотвърден имейл адрес: us.af.mil
Francesco BorrelliProfessor of Controls, UC Berkeley, CAПотвърден имейл адрес: berkeley.edu
Yudong MaUniversity of California at BerkeleyПотвърден имейл адрес: berkeley.edu
Qingyan ChenHong Kong Polytechnic UniversityПотвърден имейл адрес: polyu.edu.hk
Zheng O'Neill, Professor, PhD, PETexas A&M UniversityПотвърден имейл адрес: tamu.edu
Guilherme Carrilho da GraçaAssociate Professor University of LisbonПотвърден имейл адрес: fc.ul.pt
Jonathan WrightSchool of Architecture, Building and Civil Engineering, Loughborough UniversityПотвърден имейл адрес: lboro.ac.uk
Madhusudana ShashankaFounder and Chief Scientist, ConcentricПотвърден имейл адрес: concentric.ai
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyПотвърден имейл адрес: cs.berkeley.edu
Jeffrey SpitlerRegents Professor and OG&E Chair of Mechanical and Aero. Eng., Oklahoma State UniversityПотвърден имейл адрес: okstate.edu
David E. ClaridgeTexas A&M UniversityПотвърден имейл адрес: tamu.edu
Paul MathewLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
James O'DonnellUniversity College Dublin, IrelandПотвърден имейл адрес: ucd.ie

Следене

Philip Haves

Lawrence Berkeley National Laboratory

Потвърден имейл адрес: lbl.gov

Building simulation building controls building commissioning automated diagnositics for buildings empirical validation of bu


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Model predictive control for the operation of building cooling systems Y Ma, F Borrelli, B Hencey, B Coffey, S Bengea, P Haves IEEE Transactions on control systems technology 20 (3), 796-803, 2011	900	2011
On approaches to couple energy simulation and computational fluid dynamics programs Z Zhai, Q Chen, P Haves, JH Klems Building and Environment 37 (8-9), 857-864, 2002	389	2002
Analysis of an information monitoring and diagnostic system to improve building operations MA Piette, SK Kinney, P Haves Energy and Buildings 33 (8), 783-791, 2001	259	2001
A framework for simulation-based real-time whole building performance assessment X Pang, M Wetter, P Bhattacharya, P Haves Building and Environment 54, 100-108, 2012	193	2012
Advanced sensors and controls for building applications: Market assessment and potential R&D pathways MR Brambley, P Haves, SC McDonald, P Torcellini, D Hansen, ... EERE Publication and Product Library, Washington, DC (United States), 2005	188	2005
Peak demand reduction from pre-cooling with zone temperature reset in an office building P Xu, P Haves, MA Piette, J Braun	184	2006
A modular building controls virtual test bed for the integrations of heterogeneous systems M Wetter	183	2008
SimModel: A domain data model for whole building energy simulation J O'Donnell, R See, C Rose, V Bazjanac, P Haves	146	2012
Efficient solution strategies for building energy system simulation EF Sowell, P Haves Energy and buildings 33 (4), 309-317, 2001	145	2001
An experimental study of air flow and temperature distribution in a room with displacement ventilation and a chilled ceiling SJ Rees, P Haves Building and Environment 59, 358-368, 2013	133	2013
Condition monitoring in HVAC subsystems using first principles models P Haves, TI Salsbury, JA Wright © American Society of Heating, Refrigerating and Air-Conditioning Engineers …, 1996	123	1996
Application of machine learning in the fault diagnostics of air handling units M Najafi, DM Auslander, PL Bartlett, P Haves, MD Sohn Applied Energy 96, 347-358, 2012	115	2012
Model-based real-time whole building energy performance monitoring and diagnostics Z O’Neill, X Pang, P Haves, M Shashanka, T Bailey Automated Diagnostics and Analytics for Buildings, 205-225, 2021	103	2021
Modeling and simulation of HVAC faults in EnergyPlus X Basarkar, Mangesh, Pang, L Wang, P Haves, T Hong	95	2011
A nodal model for displacement ventilation and chilled ceiling systems in office spaces SJ Rees, P Haves Building and Environment 36 (6), 753-762, 2001	93	2001
Comparison of chiller models for use in model-based fault detection P Sreedharan, P Haves	77	2001
A standard simulation test bed for the evaluation of control algorithms and strategies P Haves, LK Norford, M DeSimone ASHRAE transactions 104, 460, 1998	77	1998
Strategies for coupling energy simulation and computational fluid dynamics programs Z Zhai, Q Chen, JH Klems, P Haves	76	2001
Experimentally-determined characteristics of radiant systems for office buildings H Jia, X Pang, P Haves Applied energy 221, 41-54, 2018	69	2018
A robust self-tuning predictive controller for HVAC applications AL Dexter, P Haves ASHRAE Transactions (American Society of Heating, Refrigerating and Air …, 1989	69	1989

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