Leveraging AMI Data for Distribution System Model Calibration and Situational Awareness. - Jouni Peppanen; Matthew J. Reno; Mohini Thakkar; Santiago Grijalva; Ronald G. Harley (IEEE Trans. Smart Grid, 2015)

Handling bad or missing smart meter data through advanced data imputation. - Jouni Peppanen; Xiaochen Zhang; Santiago Grijalva; Matthew J. Reno (ISGT, 2016)

Distribution System Model Calibration With Big Data From AMI and PV Inverters. - Jouni Peppanen; Matthew J. Reno; Robert J. Broderick; Santiago Grijalva (IEEE Trans. Smart Grid, 2016)

Streamlined interconnection analysis of distributed PV using advanced simulation methods. - Matthew J. Reno (2016)

Communication requirements for hierarchical control of volt-VAr function for steady-state voltage. - Jimmy E. Quiroz; Matthew J. Reno; Olga Lavrova; Raymond H. Byrne (ISGT, 2017)

Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems. - Matthew J. Reno; Robert J. Broderick (ISGT, 2017)

Integrated multi-scale data analytics and machine learning for the distribution grid. - Emma M. Stewart; Philip Top; Michael Chertkov; Deepjyoti Deka; Scott Backhaus; Andrey Y. Lokhov; Ciaran M. Roberts; Val Hendrix; Sean Peisert; Anthony Florita; Thomas J. King; Matthew J. Reno (SmartGridComm, 2017)

Decision tree ensemble machine learning for rapid QSTS simulations. - Logan Blakely; Matthew J. Reno; Robert J. Broderick (ISGT, 2018)

Fast QSTS for distributed PV impact studies using vector quantization and variable time-steps. - Qinmiao Li; Barry A. Mather; Jeremiah Deboever; Matthew J. Reno (ISGT, 2018)

Fault Current Control for DC Microgrid Protection Using an Adaptive Droop. - Sijo Augustine; Sukumar M. Brahma; Matthew J. Reno (ISIE, 2019)

Power system effects and mitigation recommendations for DER cyberattacks. - Jay Johnson; Jimmy E. Quiroz; Ricky J. Concepcion; Felipe Wilches-Bernal; Matthew J. Reno (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

A blockchain-based mechanism for secure data exchange in smart grid protection systems. - Dimitrios Sikeridis; Ali Bidram; Michael Devetsikiotis; Matthew J. Reno (CCNC, 2020)

Experimental Evaluation of Grid-Forming Inverters Under Unbalanced and Fault Conditions. - Nicholas S. Gurule; Javier Hernandez-Alvidrez; Rachid Darbali-Zamora; Matthew J. Reno; Jack D. Flicker (IECON, 2020)

Secondary Network Parameter Estimation for Distribution Transformers. - Kavya Ashok; Matthew J. Reno; Deepak Divan (ISGT, 2020)

Fast Fault Location Method for a Distribution System with High Penetration of PV. - Miguel Jiménez-Aparicio; Santiago Grijalva; Matthew J. Reno (HICSS, 2021)

Machine Learning Embedded in Distribution Network Relays to Classify and Locate Faults. - C. Birk Jones; Adam Summers; Matthew J. Reno (ISGT, 2021)

Deep learning based circuit topology estimation and fault classification in distribution systems. - Aswathy Rajendra Kurup; Manel Martínez-Ramón; Adam Summers; Ali Bidram; Matthew J. Reno (ISGT-Europe, 2021)

A Survey of Traveling Wave Protection Schemes in Electric Power Systems. - Felipe Wilches-Bernal; Ali Bidram; Matthew J. Reno; Javier Hernandez-Alvidrez; Pedro Barba; Benjamin Reimer; Rudy Montoya; Christopher Carr; Olga Lavrova (IEEE Access, 2021)

A Dynamic Mode Decomposition Scheme to Analyze Power Quality Events. - Felipe Wilches-Bernal; Matthew J. Reno; Javier Hernandez-Alvidrez (IEEE Access, 2021)

Aggregation of Voltage-Controlled Devices During Distribution Network Reduction. - Zachary K. Pecenak; Hamed Valizadeh Haghi; Changfu Li; Matthew J. Reno; Vahid R. Disfani; Jan Kleissl (IEEE Trans. Smart Grid, 2021)

Substation-level Circuit Topology Estimation Using Machine Learning. - Daniel Ruiz Garcia; Binod Poudel; Ali Bidram; Matthew J. Reno (ISGT, 2022)

Testing Machine Learned Fault Detection and Classification on a DC Microgrid. - Samuel T. Ojetola; Matthew J. Reno; Jack D. Flicker; Daniel Bauer; David Stoltzfuz (ISGT, 2022)

Knowledge-Based Fault Diagnosis for a Distribution System with High PV Penetration. - Shuva Paul; Santiago Grijalva; Miguel Jiménez-Aparicio; Matthew J. Reno (ISGT, 2022)

Prediction of Relay Settings in an Adaptive Protection System. - Adam Summers; Trupal Patel; Ronald Matthews; Matthew J. Reno (ISGT, 2022)

Sparse Time Series Sampling for Recovery of Behind-the-Meter Inverter Control Models. - Samuel Talkington; Santiago Grijalva; Matthew J. Reno (ISGT, 2022)

An Algorithm for Fast Fault Location and Classification Based on Mathematical Morphology and Machine Learning. - Felipe Wilches-Bernal; Miguel Jiménez-Aparicio; Matthew J. Reno (ISGT, 2022)

A Machine Learning-based Method using the Dynamic Mode Decomposition for Fault Location and Classification. - Felipe Wilches-Bernal; Miguel Jiménez-Aparicio; Matthew J. Reno (ISGT, 2022)

The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms. - Miguel Jiménez-Aparicio; Matthew J. Reno; John W. Pierre (UEMCON, 2022)

Switch Location Identification for Integrating a Distant Photovoltaic Array Into a Microgrid. - C. Birk Jones; Marios Theristis; Rachid Darbali-Zamora; Michael E. Ropp; Matthew J. Reno; Matthew S. Lave (IEEE Access, 2022)

Zonal Machine Learning-Based Protection for Distribution Systems. - Binod Poudel; Ali Bidram; Matthew J. Reno; Adam Summers (IEEE Access, 2022)

A Framework for Coordinated Self-Assembly of Networked Microgrids Using Consensus Algorithms. - Kevin P. Schneider; Jim Glass 002; Cecilia Klauber; Thomas Ben Ollis; Matthew J. Reno; Michael Burck; Lelic Muhidin; Anamika Dubey; Wei Du 008; Thanh Long Vu 002; Jing Xie 004; David Nordy; et al. (IEEE Access, 2022)

Calculating PV Hosting Capacity in Low-Voltage Secondary Networks Using Only Smart Meter Data. - Joseph A. Azzolini; Matthew J. Reno; Jubair Yusuf; Samuel Talkington; Santiago Grijalva (ISGT, 2023)

Fast Traveling Wave Detection and Identification Method for Power Distribution Systems Using the Discrete Wavelet Transform. - Miguel Jiménez-Aparicio; Matthew J. Reno; Javier Hernandez-Alvidrez (ISGT, 2023)

A Fast Microprocessor-Based Traveling Wave Fault Detection System for Electrical Power Networks. - Armando Y. Montoya; Miguel Jiménez-Aparicio; Javier Hernandez-Alvidrez; Matthew J. Reno (ISGT, 2023)

Aggregation of Solar and Type 4 Wind Farms for Short Circuit Studies. - Trupal Patel; Sukumar Brahma; Matthew J. Reno (ISGT, 2023)

Online Data-Driven Detection of Phase Changes in Evolving Distribution Systems. - Bethany D. Peña; Logan Blakely; Matthew J. Reno (ISGT, 2023)

Protection Analysis of a Traveling-Wave, Machine-Learning Protection Scheme for Distributions Systems With Variable Penetration of Solar PV. - Miguel Jiménez-Aparicio; Trupal R. Patel; Matthew J. Reno; Javier Hernandez-Alvidrez (IEEE Access, 2023)

Local, Single-Ended, Traveling-Wave Fault Location on Distribution Systems Using Frequency and Time-Domain Data. - Miguel Jiménez-Aparicio; Felipe Wilches-Bernal; Matthew J. Reno (IEEE Access, 2023)

Protection Approaches for Self-Healing Microgrids Using Only Local Measurements. - Jubair Yusuf; Michael E. Ropp; Matthew J. Reno (ISGT, 2024)

Applying Sensor-Based Phase Identification With AMI Voltage in Distribution Systems. - Logan Blakely; Matthew J. Reno; Joseph A. Azzolini; C. Birk Jones; David Nordy (IEEE Access, 2024)

Data-Driven Affinely Adjustable Robust Volt/VAr Control. - Naihao Shi; Rui Cheng 002; Liming Liu; Zhaoyu Wang 001; Qianzhi Zhang; Matthew J. Reno (IEEE Trans. Smart Grid, 2024)

Voltage Calculations in Secondary Distribution Networks via Physics-Inspired Neural Network Using Smart Meter Data. - Liming Liu; Naihao Shi; Dingwei Wang; Zixiao Ma; Zhaoyu Wang 001; Matthew J. Reno; Joseph A. Azzolini (IEEE Trans. Smart Grid, 2024)

Probabilistic Estimation of PV Hosting Capacity in DER-Rich Feeders Using Smart Meter Data. - Liming Liu; Naihao Shi; Zhaoyu Wang 001; Matthew J. Reno; Joseph A. Azzolini (IEEE Trans. Smart Grid, 2025)