| Perspectives on the integration between first-principles and data-driven modeling W Bradley, J Kim, Z Kilwein, L Blakely, M Eydenberg, J Jalvin, C Laird, ... Computers & Chemical Engineering 166, 107898, 2022 | 87 | 2022 |
| A deep neural network approach for behind-the-meter residential PV size, tilt and azimuth estimation K Mason, MJ Reno, L Blakely, S Vejdan, S Grijalva Solar Energy 196, 260-269, 2020 | 66 | 2020 |
| Spectral clustering for customer phase identification using AMI voltage timeseries L Blakely, MJ Reno, W Feng 2019 IEEE Power and Energy Conference at Illinois (PECI), 1-7, 2019 | 66 | 2019 |
| 930 berg, Jordan Jalvin, Carl Laird, and Fani Boukouvala W Bradley, J Kim, Z Kilwein, L Blakely, M Eyden Perspectives on the integration between first-principles and data-driven …, 2022 | 57 | 2022 |
| Identifying common errors in distribution system models L Blakely, MJ Reno, J Peppanen 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 3132-3139, 2019 | 40 | 2019 |
| Assessment of measurement-based phase identification methods F Therrien, L Blakely, MJ Reno IEEE Open Access Journal of Power and Energy 8, 128-137, 2021 | 35 | 2021 |
| Phase identification using co‐association matrix ensemble clustering L Blakely, MJ Reno IET Smart Grid 3 (4), 490-499, 2020 | 32 | 2020 |
| AMI data quality and collection method considerations for improving the accuracy of distribution models L Blakely, MJ Reno, K Ashok 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 2045-2052, 2019 | 31 | 2019 |
| Systematic study of data requirements and AMI capabilities for smart meter analytics K Ashok, MJ Reno, L Blakely, D Divan 2019 IEEE 7th International Conference on Smart Energy Grid Engineering …, 2019 | 22 | 2019 |
| Identifying errors in service transformer connections L Blakely, MJ Reno 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 16 | 2020 |
| Identification and correction of errors in pairing AMI meters and transformers L Blakely, MJ Reno 2021 IEEE Power and Energy Conference at Illinois (PECI), 1-8, 2021 | 14 | 2021 |
| Estimation of PV location in distribution systems based on voltage sensitivities S Grijalva, AU Khan, JS Mbeleg, C Gomez-Peces, MJ Reno, L Blakely 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 13 | 2021 |
| Improving behind-the-meter PV impact studies with data-driven modeling and analysis JA Azzolini, S Talkington, MJ Reno, S Grijalva, L Blakely, D Pinney, ... 2022 IEEE 49th Photovoltaics Specialists Conference (PVSC), 204-204, 2022 | 12 | 2022 |
| Decision tree ensemble machine learning for rapid QSTS simulations L Blakely, MJ Reno, RJ Broderick 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2018 | 12 | 2018 |
| Imofi-intelligent model fidelity: Physics-based data-driven grid modeling to accelerate accurate pv integration final report M Reno, L Blakely, RD Trevizan, B Pena, M Lave, J Azzolini, J Yusuf, ... United States, 2022 | 11 | 2022 |
| Machine learning for rapid qsts simulations using neural networks MJ Reno, RJ Broderick, L Blakely 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 1573-1578, 2017 | 11 | 2017 |
| Physics-informed machine learning with optimization-based guarantees: Applications to AC power flow J Jalving, M Eydenberg, L Blakely, A Castillo, Z Kilwein, JK Skolfield, ... International Journal of Electrical Power & Energy Systems 157, 109741, 2024 | 10 | 2024 |
| Estimation of PV location based on voltage sensitivities in distribution systems with discrete voltage regulation equipment C Gómez-Peces, S Grijalva, MJ Reno, L Blakely 2021 IEEE Madrid PowerTech, 1-6, 2021 | 10 | 2021 |
| Evaluation and comparison of machine learning techniques for rapid qsts simulations L Blakely, MJ Reno, RJ Broderick Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 7 | 2018 |
| Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV RJ Broderick, MJ Reno, MS Lave, JA Azzolini, L Blakely, J Galtieri, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2021 | 6 | 2021 |
Matthew J. RenoSandia National LaboratoriesZweryfikowany adres z sandia.gov