| Building thermal load prediction through shallow machine learning and deep learning Z Wang, T Hong, MA Piette Applied Energy 263, 114683, 2020 | 531 | 2020 |
| 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 | 479 | 2017 |
| 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 | 471 | 2011 |
| 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 | 419 | 2021 |
| Introduction to commercial building control strategies and techniques for demand response N Motegi, MA Piette, DS Watson, S Kiliccote, P Xu Lawrence Berkeley National Laboratory LBNL-59975 4, 2007 | 292 | 2007 |
| 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 | 273* | 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 | 270 | 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 | 257 | 2010 |
| 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 | 230 | 2016 |
| 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 | 225 | 2015 |
| Field demonstration and implementation analysis of model predictive control in an office HVAC system D Blum, Z Wang, C Weyandt, D Kim, M Wetter, T Hong, MA Piette Applied energy 318 (119104), 10.1016, 2022 | 198 | 2022 |
| Peak demand reduction from pre-cooling with zone temperature reset in an office building P Xu, P Haves, MA Piette, J Braun | 188 | 2004 |
| Energy retrofit analysis toolkits for commercial buildings: A review SH Lee, T Hong, MA Piette, SC Taylor-Lange Energy 89, 1087-1100, 2015 | 178 | 2015 |
| Demand response opportunities and enabling technologies for data centers: Findings from field studies G Ghatikar | 174 | 2012 |
| 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 | 171 | 2009 |
| The cost-effectiveness of commercial-buildings commissioning E Mills, H Friedman, T Powell, N Bourassa, D Claridge, T Haasl, MA Piette LBNL-56637, 2004 | 171 | 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 | 159 | 2014 |
| A national roadmap for grid-interactive efficient buildings A Satchwell, MA Piette, A Khandekar, J Granderson, NM Frick, R Hledik, ... | 147 | 2021 |
| Development and evaluation of fully automated demand response in large facilities MA Piette, O Sezgen, DS Watson, N Motegi, C Shockman, L Ten Hope | 146 | 2004 |
| Electric load shape benchmarking for small-and medium-sized commercial buildings X Luo, T Hong, Y Chen, MA Piette Applied energy 204, 715-725, 2017 | 143 | 2017 |
Sila KiliccoteLBNL, SLAC, Google, eIQ Mobility, Breakthrough Energy VenturesVerified email at kiliccote.com
