Mary Ann Piette

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Soavtorji

Sila KiliccoteLBNL, SLAC, Google, eIQ Mobility, Breakthrough Energy VenturesPreverjeni e-poštni naslov na kiliccote.com
Tianzhen HongSenior Scientist, FIBPSA, FASHRAE, Lawrence Berkeley National LabPreverjeni e-poštni naslov na lbl.gov
Bruce NordmanResearch Scientist, Lawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Rongxin YinUC Berkeley/Lawrence Berkeley National LabPreverjeni e-poštni naslov na lbl.gov
Philip HavesLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Richard BrownLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Michael WetterLBNL, Berkeley, CAPreverjeni e-poštni naslov na lbl.gov
Sang Hoon LeeSenior Scientific Engineering Associate, Lawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Evan MillsSenior Scientist (retired)Preverjeni e-poštni naslov na lbl.gov
Michael D. SohnLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Sarah C. Taylor-LangeLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Jonathan KoomeyPresident, Koomey AnalyticsPreverjeni e-poštni naslov na koomey.com
Kaoru KawamotoProfessor, Data Science División, Shiga University, JapanPreverjeni e-poštni naslov na osakagas.co.jp
Stephen SelkowitzLawrence Berkeley National LabPreverjeni e-poštni naslov na lbl.gov
Johanna MathieuAssociate Professor of Electrical Engineering and Computer Science, University of MichiganPreverjeni e-poštni naslov na umich.edu
David E. ClaridgeTexas A&M UniversityPreverjeni e-poštni naslov na tamu.edu
Steven LanziseraLawrence Berkeley National LaboratoryPreverjeni e-poštni naslov na lbl.gov
Frank OlkenFrank Olken Consulting

Spremljaj

Mary Ann Piette

LBNL

Preverjeni e-poštni naslov na lbl.gov


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Quantifying changes in building electricity use, with application to demand response JL Mathieu, PN Price, S Kiliccote, MA Piette IEEE Transactions on Smart Grid 2 (3), 507-518, 2011	445	2011
Automatic generation and simulation of urban building energy models based on city datasets for city-scale building retrofit analysis Y Chen, T Hong, MA Piette Applied Energy 205, 323-335, 2017	428	2017
Building thermal load prediction through shallow machine learning and deep learning Z Wang, T Hong, MA Piette Applied Energy 263, 114683, 2020	403	2020
Introduction to commercial building control strategies and techniques for demand response--appendices N Motegi	314	2007
Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications H Li, Z Wang, T Hong, MA Piette Advances in Applied Energy 3, 100054, 2021	312	2021
Electricity used by office equipment and network equipment in the US K Kawamoto, JG Koomey, B Nordman, RE Brown, MA Piette, M Ting, ... Energy 27 (3), 255-269, 2002	267*	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
Study on Auto-DR and pre-cooling of commercial buildings with thermal mass in California R Yin, P Xu, MA Piette, S Kiliccote Energy and Buildings 42 (7), 967-975, 2010	241	2010
Commercial building energy saver: An energy retrofit analysis toolkit T Hong, MA Piette, Y Chen, SH Lee, SC Taylor-Lange, R Zhang, K Sun, ... Applied Energy 159, 298-309, 2015	216	2015
CityBES: A web-based platform to support city-scale building energy efficiency T Hong, Y Chen, SH Lee, MA Piette Urban Computing 14, 2016, 2016	194	2016
Peak demand reduction from pre-cooling with zone temperature reset in an office building P Xu, P Haves, MA Piette, J Braun	184	2004
Statistical analysis of baseline load models for non-residential buildings K Coughlin, MA Piette, C Goldman, S Kiliccote Energy and Buildings 41 (4), 374-381, 2009	169	2009
Energy retrofit analysis toolkits for commercial buildings: A review SH Lee, T Hong, MA Piette, SC Taylor-Lange Energy 89, 1087-1100, 2015	165	2015
The cost-effectiveness of commercial-buildings commissioning E Mills, H Friedman, T Powell, N Bourassa, D Claridge, T Haasl, MA Piette LBNL-56637, 2004	164	2004
Demand response opportunities and enabling technologies for data centers: Findings from field studies G Ghatikar	162	2012
Machine to machine (M2M) technology in demand responsive commercial buildings DS Watson, MA Piette, O Sezgen, N Motegi, L Ten Hope	156*	2004
Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques M Bonvini, MD Sohn, J Granderson, M Wetter, MA Piette Applied Energy 124, 156-166, 2014	149	2014
Development and evaluation of fully automated demand response in large facilities MA Piette, O Sezgen, DS Watson, N Motegi, C Shockman, L Ten Hope	144	2004
Estimating demand response load impacts: Evaluation of baseline load models for non-residential buildings in California K Coughlin, MA Piette, C Goldman, S Kiliccote	139	2008
Open automated demand response communications specification (Version 1.0) MA Piette	134	2009

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