Mary Ann Piette
Mary Ann Piette
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Cited by
Cited by
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
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
Introduction to Commercial Building Control Strategies and Techniques for Demand Response--Appendices
N Motegi
Building thermal load prediction through shallow machine learning and deep learning
Z Wang, T Hong, MA Piette
Applied Energy 263, 114683, 2020
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
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
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
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
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
Peak demand reduction from pre-cooling with zone temperature reset in an office building
P Xu, P Haves, MA Piette, J Braun
The cost-effectiveness of commercial-buildings commissioning
E Mills, H Friedman, T Powell, N Bourassa, D Claridge, T Haasl, MA Piette
LBNL-56637, 2004
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
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
Demand response opportunities and enabling technologies for data centers: Findings from field studies
G Ghatikar
Energy retrofit analysis toolkits for commercial buildings: A review
SH Lee, T Hong, MA Piette, SC Taylor-Lange
Energy 89, 1087-1100, 2015
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
Development and evaluation of fully automated demand response in large facilities
MA Piette, O Sezgen, DS Watson, N Motegi, C Shockman, L Ten Hope
Estimating demand response load impacts: Evaluation of baseline load models for non-residential buildings in California
K Coughlin, MA Piette, C Goldman, S Kiliccote
Open automated demand response communications specification (Version 1.0)
MA Piette
Building energy information systems: user case studies
J Granderson, MA Piette, G Ghatikar
Energy Efficiency 4, 17-30, 2011
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