| Global Horizontal Irradiance Clear Sky Models: Implementation and Analysis MJ Reno, CW Hansen, JS Stein Sandia National Laboratories, 2012 | 372 | 2012 |
| The Variability Index: A New and Novel Metric for Quantifying Irradiance and PV Output Variability JS Stein, CW Hansen, MJ Reno World Renewable Energy Forum, Denver, CO, 2012 | 160 | 2012 |
| Identification of periods of clear sky irradiance in time series of GHI measurements MJ Reno, CW Hansen Renewable Energy 90, 520-531, 2016 | 138 | 2016 |
| On the Path to SunShot: Emerging Issues and Challenges in Integrating Solar with the Distribution System B Palmintier, R Broderick, B Mather, M Coddington, K Baker, F Ding, ... National Renewable Energy Laboratory (NREL), 2016 | 138* | 2016 |
| Characterizing local high-frequency solar variability and its impact to distribution studies M Lave, MJ Reno, RJ Broderick Solar Energy 118, 327-337, 2015 | 134 | 2015 |
| Time Series Power Flow Analysis for Distribution Connected PV Generation RJ Broderick, JE Quiroz, MJ Reno, A Ellis, J Smith, R Dugan Sandia National Laboratories SAND2013-0537, 2013 | 131 | 2013 |
| Improving Distribution Network PV Hosting Capacity via Smart Inverter Reactive Power Support J Seuss, MJ Reno, RJ Broderick, S Grijalva IEEE PES General Meeting, 2015 | 129 | 2015 |
| Sharing Transient Loads: Causes of Unequal Transient Load Sharing in Islanded Microgrid Operation A Paquette, M Reno, R Harley, D Divan IEEE Industry Applications Magazine, 2013 | 121 | 2013 |
| Leveraging AMI Data for Distribution System Model Calibration and Situational Awareness J Peppanen, MJ Reno, M Thakkar, S Grijalva, RG Harley IEEE Transactions on Smart Grid, 2015 | 109 | 2015 |
| Motivation and Requirements for Quasi-Static Time Series (QSTS) for Distribution System Analysis MJ Reno, J Deboever, B Mather IEEE PES General Meeting, 2017 | 98 | 2017 |
| Distribution System Model Calibration With Big Data From AMI and PV Inverters J Peppanen, MJ Reno, RJ Broderick, S Grijalva IEEE Transactions on Smart Grid, 2016 | 82 | 2016 |
| Handling Bad or Missing Smart Meter Data through Advanced Data Imputation J Peppanen, X Zhang, S Grijalva, MJ Reno IEEE Innovative Smart Grid Technologies (ISGT), 2016 | 77 | 2016 |
| Smart inverter capabilities for mitigating over-voltage on distribution systems with high penetrations of PV MJ Reno, RJ Broderick, S Grijalva IEEE Photovoltaic Specialists Conference (PVSC), 2013 | 73 | 2013 |
| Time Series Simulation of Voltage Regulation Device Control Modes. JE Quiroz, MJ Reno, RJ Broderick IEEE Photovoltaic Specialists Conference (PVSC), 2013 | 73 | 2013 |
| Multiphase distribution feeder reduction ZK Pecenak, VR Disfani, MJ Reno, J Kleissl IEEE Transactions on Power Systems 33 (2), 1320-1328, 2017 | 63 | 2017 |
| Locational Dependence of PV Hosting Capacity Correlated with Feeder Load K Coogan, MJ Reno, S Grijalva, RJ Broderick IEEE Transmission & Distribution Conference, 2014 | 61 | 2014 |
| Grid Integrated Distributed PV (GridPV) MJ Reno, K Coogan Sandia National Laboratories SAND2013-6733, 2013 | 61 | 2013 |
| Distribution System Low-Voltage Circuit Topology Estimation using Smart Metering Data J Peppanen, MJ Reno, R Broderick, S Grijalva IEEE PES T&D Conference & Exposition, 2016 | 58 | 2016 |
| DC Microgrid Protection: Review and Challenges S Augustine, JE Quiroz, MJ Reno, S Brahma Sandia National Laboratories, 2018 | 57 | 2018 |
| Spectral Clustering for Customer Phase Identification Using AMI Voltage Timeseries L Blakely, MJ Reno, W Feng IEEE Power and Energy Conference at Illinois (PECI), 2019 | 55 | 2019 |
Robert BroderickSandia NationaL LaboratoriesVerified email at sandia.gov
