| Gradient boosting machine for modeling the energy consumption of commercial buildings S Touzani, J Granderson, S Fernandes Energy and Buildings 158, 1533-1543, 2018 | 470 | 2018 |
| 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 |
| Metadata schemas and ontologies for building energy applications: A critical review and use case analysis M Pritoni, D Paine, G Fierro, C Mosiman, M Poplawski, A Saha, J Bender, ... Energies 14 (7), 2024, 2021 | 122 | 2021 |
| Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings J Granderson, S Touzani, C Custodio, MD Sohn, D Jump, S Fernandes Applied Energy 173, 296-308, 2016 | 122 | 2016 |
| Building energy information systems: user case studies J Granderson, MA Piette, G Ghatikar Energy Efficiency 4, 17-30, 2011 | 122 | 2011 |
| A national roadmap for grid-interactive efficient buildings A Satchwell, MA Piette, A Khandekar, J Granderson, NM Frick, R Hledik, ... | 116 | 2021 |
| Fuel use and design analysis of improved woodburning cookstoves in the Guatemalan Highlands J Granderson, JS Sandhu, D Vasquez, E Ramirez, KR Smith Biomass and Bioenergy 33 (2), 306-315, 2009 | 111 | 2009 |
| Towards embedded wireless-networked intelligent daylighting systems for commercial buildings YJ Wen, J Granderson, AM Agogino IEEE International Conference on Sensor Networks, Ubiquitous, and …, 2006 | 100 | 2006 |
| Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance G Lin, H Kramer, J Granderson Building and Environment 168, 106505, 2020 | 97 | 2020 |
| Building fault detection data to aid diagnostic algorithm creation and performance testing J Granderson, G Lin, A Harding, P Im, Y Chen Scientific data 7 (1), 65, 2020 | 92 | 2020 |
| Building energy information systems: State of the technology and user case studies J Granderson, MA Piette, G Ghatikar, P Price Handbook of web based energy information and control systems, 133-182, 2020 | 83 | 2020 |
| Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency S Touzani, AK Prakash, Z Wang, S Agarwal, M Pritoni, M Kiran, R Brown, ... Applied Energy 304, 117733, 2021 | 78 | 2021 |
| Design of machine learning models with domain experts for automated sensor selection for energy fault detection RL Hu, J Granderson, DM Auslander, A Agogino Applied energy 235, 117-128, 2019 | 73 | 2019 |
| Automated measurement and verification: Performance of public domain whole-building electric baseline models J Granderson, PN Price, D Jump, N Addy, MD Sohn Applied Energy 144, 106-113, 2015 | 63 | 2015 |
| Development and application of a statistical methodology to evaluate the predictive accuracy of building energy baseline models J Granderson, PN Price Energy 66, 981-990, 2014 | 63 | 2014 |
| Statistical change detection of building energy consumption: Applications to savings estimation S Touzani, B Ravache, E Crowe, J Granderson Energy and Buildings 185, 123-136, 2019 | 61 | 2019 |
| Energy information handbook: Applications for energy-efficient building operations J Granderson | 60 | 2011 |
| Building energy information systems: synthesis of costs, savings, and best-practice uses J Granderson, G Lin Energy Efficiency 9, 1369-1384, 2016 | 59 | 2016 |
| Small-and medium-sized commercial building monitoring and controls needs: A scoping study S Katipamula, RM Underhill, JK Goddard, DJ Taasevigen, MA Piette, ... Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2012 | 58 | 2012 |
| Field evaluation of performance of HVAC optimization system in commercial buildings J Granderson, G Lin, R Singla, S Fernandes, S Touzani Energy and Buildings 173, 577-586, 2018 | 53 | 2018 |
