| Big-data for building energy performance: Lessons from assembling a very large national database of building energy use PA Mathew, LN Dunn, MD Sohn, A Mercado, C Custudio, T Walter Applied Energy 140, 85-93, 2015 | 251 | 2015 |
| Improving the estimated cost of sustained power interruptions to electricity customers KH LaCommare, JH Eto, LN Dunn, MD Sohn Energy 153, 1038-1047, 2018 | 74 | 2018 |
| 2025 California demand response potential study-charting California’s demand response future: final report on phase 2 results P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... | 44 | 2023 |
| Weathering adaptation: Grid infrastructure planning in a changing climate AM Brockway, LN Dunn Climate risk management 30, 100256, 2020 | 40 | 2020 |
| California demand response potential study—Charting California’s demand response future: Final report on phase 2 results P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... LBNL-2001113, Lawrence Berkeley National Laboratory, Berkeley, CA, 2025 | 35 | 2025 |
| Getting real with energy data: Using the buildings performance database to support data-driven analyses and decision-making RE Brown, T Walter, LN Dunn, CY Custodio, PA Mathew, L Berkeley Proceedings of the ACEEE summer study on energy efficiency in buildings, 11-49, 2014 | 22 | 2014 |
| Final Report on Phase 2 Results, 2015 California Demand Response Potential Study: Charting California’s Demand Response Future P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... California Public Utilities Commission. https://www. cpuc. ca. gov/WorkArea …, 2017 | 19 | 2017 |
| Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability LN Dunn, MD Sohn, KH LaCommare, JH Eto Energy Policy 129, 206-214, 2019 | 14 | 2019 |
| 2025 California Demand Response Potential Study-Charting Californias Demand Response Future P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... California Public Utilities Commission (CPUC), 2017 | 14 | 2017 |
| Climate-aware decision-making: lessons for electric grid infrastructure planning and operations AM Brockway, L Wang, LN Dunn, D Callaway, A Jones Environmental Research Letters 17 (7), 073002, 2022 | 12 | 2022 |
| Optimal dispatch of electrified autonomous mobility on demand vehicles during power outages C Sheppard, LN Dunn, S Bae, M Gardner 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 12 | 2017 |
| Final Report on Phase 2 Results: 2025 California Demand Response Potential Study P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... Berkeley, CA, 2017 | 12 | 2017 |
| Exploratory analysis of energy use across building types and geographic regions in the United States MD Sohn, LN Dunn Frontiers in Built Environment 5, 105, 2019 | 11 | 2019 |
| California Demand Response Potential Study, Final Report and Appendices on Phase 2 Results: Charting California's Demand Response Future P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... Lawrence Berkeley National Laboratory. Prepared for California Public …, 2017 | 11 | 2017 |
| On wind speed sensor configurations and altitude control in airborne wind energy systems LN Dunn, C Vermillion, FK Chow, SJ Moura 2019 American Control Conference (ACC), 2197-2202, 2019 | 9 | 2019 |
| Data preparation process for the buildings performance database CY Custodio, T Walter, L Dunn, A Mercado, RE Brown, P Mathew LBNL-6724E. Lawrence Berkeley National Laboratory. http://tinyurl. com/jugn74w, 2015 | 5 | 2015 |
| Bayesian hierarchical methods for modeling electrical grid component failures LN Dunn, I Kavvada, MD Badoual, SJ Moura Electric Power Systems Research 189, 106789, 2020 | 4 | 2020 |
| Empirical regret bounds for control in spatiotemporally varying environments: A case study in airborne wind energy B Haydon, J Cole, L Dunn, P Keyantuo, T Chow, S Moura, C Vermillion Dynamic Systems and Control Conference 59155, V002T22A002, 2019 | 4 | 2019 |
| California Demand Response Potential Study: Charting California’s Demand Response Future, Interim Report on Phase 1 Results P Alstone, J Potter, MA Piette, P Schwartz, MA Berger, LN Dunn, SJ Smith, ... Lawrence Berkeley Natl. Lab, 2015 | 4 | 2015 |
| A vector auto-regression based forecast of wind speeds in airborne wind energy systems P Keyantuo, LN Dunn, B Haydon, C Vermillion, FK Chow, SJ Moura 2021 IEEE Conference on Control Technology and Applications (CCTA), 69-75, 2021 | 3 | 2021 |
