Mary Ann Piette

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	10577	4720
h-индекс	56	37
i10-индекс	145	76

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Публичен достъп

Преглед на всички

90 статии

6 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Sila KiliccoteLBNL, SLAC, Google, eIQ Mobility, Breakthrough Energy VenturesПотвърден имейл адрес: kiliccote.com
Tianzhen HongSenior Scientist, FIBPSA, FASHRAE, Lawrence Berkeley National LabПотвърден имейл адрес: lbl.gov
Bruce NordmanResearch Scientist, Lawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Rongxin YinUC Berkeley/Lawrence Berkeley National LabПотвърден имейл адрес: lbl.gov
Philip HavesLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Richard BrownLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Michael WetterLBNL, Berkeley, CAПотвърден имейл адрес: lbl.gov
Sang Hoon LeeSenior Scientific Engineering Associate, Lawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Evan MillsSenior Scientist (retired)Потвърден имейл адрес: lbl.gov
Michael D. SohnLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Sarah C. Taylor-LangeLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Jonathan KoomeyPresident, Koomey AnalyticsПотвърден имейл адрес: koomey.com
Kaoru KawamotoProfessor, Data Science División, Shiga University, JapanПотвърден имейл адрес: osakagas.co.jp
Stephen SelkowitzLawrence Berkeley National LabПотвърден имейл адрес: lbl.gov
Johanna MathieuAssociate Professor of Electrical Engineering and Computer Science, University of MichiganПотвърден имейл адрес: umich.edu
David E. ClaridgeTexas A&M UniversityПотвърден имейл адрес: tamu.edu
Steven LanziseraLawrence Berkeley National LaboratoryПотвърден имейл адрес: lbl.gov
Frank OlkenFrank Olken Consulting

Следене

Mary Ann Piette

LBNL

Потвърден имейл адрес: lbl.gov


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
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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