| Impact of dynamic airflow on human thermal response ZY Zhou X , Ouyang Q , Lin G Indoor air 2006 16 (5), 348-355, 2006 | 95 | 2006 |
| 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 | 72 | 2020 |
| 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 | 70 | 2020 |
| A temperature-based approach to detect abnormal building energy consumption G Lin, DE Claridge Energy and Buildings 93, 110-118, 2015 | 63 | 2015 |
| Building energy information systems: synthesis of costs, savings, and best-practice uses J Granderson, G Lin Energy Efficiency 9, 1369-1384, 2016 | 56 | 2016 |
| A review of data-driven fault detection and diagnostics for building HVAC systems Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ... Applied Energy 339, 121030, 2023 | 46 | 2023 |
| 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 | 40 | 2018 |
| A performance evaluation framework for building fault detection and diagnosis algorithms S Frank, G Lin, X Jin, R Singla, A Farthing, J Granderson Energy and Buildings 192, 84-92, 2019 | 38 | 2019 |
| Commercial fault detection and diagnostics tools: what they offer, how they differ, and what’s still needed J Granderson, G Lin, R Singla, E Mayhorn, P Ehrlich, D Vrabie, S Frank | 35 | 2022 |
| Proving the business case for building analytics H Kramer, G Lin, C Curtin, E Crowe, J Granderson Lawrence Berkeley National Lab.(LBNL), Berkeley, CA (United States), 2020 | 32* | 2020 |
| Energy information systems (EIS): Technology costs, benefit, and best practice uses J Granderson | 30 | 2013 |
| Development of a unified taxonomy for hvac system faults Y Chen, G Lin, E Crowe, J Granderson Energies 14 (17), 5581, 2021 | 28 | 2021 |
| Building analytics and monitoring-based commissioning: industry practice, costs, and savings H Kramer, G Lin, C Curtin, E Crowe, J Granderson Energy Efficiency 13, 537-549, 2020 | 23 | 2020 |
| Metrics and methods to assess building fault detection and diagnosis tools SM Frank, G Lin, X Jin, R Singla, A Farthing, L Zhang, J Granderson National Renewable Energy Lab.(NREL), Golden, CO (United States), 2019 | 19 | 2019 |
| Development and implementation of fault-correction algorithms in fault detection and diagnostics tools G Lin, M Pritoni, Y Chen, J Granderson Energies 13 (10), 2598, 2020 | 17 | 2020 |
| From fault-detection to automated fault correction: A field study M Pritoni, G Lin, Y Chen, R Vitti, C Weyandt, J Granderson Building and Environment 214, 108900, 2022 | 13 | 2022 |
| A simulation-based evaluation of fan coil unit fault effects Y Chen, G Lin, Z Chen, J Wen, J Granderson Energy and Buildings 263, 112041, 2022 | 12 | 2022 |
| Inventory of data sets for AFDD evaluation J Granderson, G Lin Building Technology and Urban Systems Division, Lawrence Berkeley National …, 2019 | 12 | 2019 |
| Building analytics tool deployment at scale: Benefits, costs, and deployment practices G Lin, H Kramer, V Nibler, E Crowe, J Granderson Energies 15 (13), 4858, 2022 | 11 | 2022 |
| Curation of Ground-Truth Validated Benchmarking Datasets for Fault Detection & Diagnostics Tools J Casillas, A. Lin, G. Im, P. Granderson Proceedings of the 2020 ACEEE Summer Study on Energy Efficiency in Buildings, 2020 | 11* | 2020 |
