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2020 – today
- 2024
[j14]Logan Blakely
, Matthew J. Reno, Joseph A. Azzolini, C. Birk Jones, David Nordy:
Applying Sensor-Based Phase Identification With AMI Voltage in Distribution Systems. IEEE Access 12: 1235-1249 (2024)- [j13]Naihao Shi, Rui Cheng, Liming Liu, Zhaoyu Wang, Qianzhi Zhang, Matthew J. Reno:
Data-Driven Affinely Adjustable Robust Volt/VAr Control. IEEE Trans. Smart Grid 15(1): 247-259 (2024) - [j12]Liming Liu, Naihao Shi, Dingwei Wang, Zixiao Ma, Zhaoyu Wang, Matthew J. Reno, Joseph A. Azzolini:
Voltage Calculations in Secondary Distribution Networks via Physics-Inspired Neural Network Using Smart Meter Data. IEEE Trans. Smart Grid 15(5): 5205-5218 (2024) - [c27]Jubair Yusuf, Michael E. Ropp, Matthew J. Reno:
Protection Approaches for Self-Healing Microgrids Using Only Local Measurements. ISGT 2024: 1-5 - 2023
- [j11]Miguel Jiménez-Aparicio, Felipe Wilches-Bernal, Matthew J. Reno:
Local, Single-Ended, Traveling-Wave Fault Location on Distribution Systems Using Frequency and Time-Domain Data. IEEE Access 11: 74201-74215 (2023) - [j10]Miguel Jiménez-Aparicio, Trupal R. Patel, Matthew J. Reno, Javier Hernandez-Alvidrez:
Protection Analysis of a Traveling-Wave, Machine-Learning Protection Scheme for Distributions Systems With Variable Penetration of Solar PV. IEEE Access 11: 127255-127270 (2023) - [c26]Joseph A. Azzolini, Matthew J. Reno, Jubair Yusuf, Samuel Talkington, Santiago Grijalva:
Calculating PV Hosting Capacity in Low-Voltage Secondary Networks Using Only Smart Meter Data. ISGT 2023: 1-5 - [c25]Miguel Jiménez-Aparicio, Matthew J. Reno, Javier Hernandez-Alvidrez:
Fast Traveling Wave Detection and Identification Method for Power Distribution Systems Using the Discrete Wavelet Transform. ISGT 2023: 1-5 - [c24]Armando Y. Montoya, Miguel Jiménez-Aparicio, Javier Hernandez-Alvidrez, Matthew J. Reno:
A Fast Microprocessor-Based Traveling Wave Fault Detection System for Electrical Power Networks. ISGT 2023: 1-5 - [c23]Trupal Patel, Sukumar Brahma, Matthew J. Reno:
Aggregation of Solar and Type 4 Wind Farms for Short Circuit Studies. ISGT 2023: 1-5 - [c22]Bethany D. Peña, Logan Blakely, Matthew J. Reno:
Online Data-Driven Detection of Phase Changes in Evolving Distribution Systems. ISGT 2023: 1-5 - 2022
- [j9]Kevin P. Schneider, Jim Glass, Cecilia Klauber, Thomas Ben Ollis, Matthew J. Reno, Michael Burck, Lelic Muhidin, Anamika Dubey, Wei Du, Thanh Long Vu, Jing Xie, David Nordy, William Dawson, Javier Hernandez-Alvidrez, Anjan Bose, Dan Ton, Guohui Yuan:
A Framework for Coordinated Self-Assembly of Networked Microgrids Using Consensus Algorithms. IEEE Access 10: 3864-3878 (2022) - [j8]C. Birk Jones, Marios Theristis, Rachid Darbali-Zamora, Michael E. Ropp, Matthew J. Reno, Matthew S. Lave:
Switch Location Identification for Integrating a Distant Photovoltaic Array Into a Microgrid. IEEE Access 10: 57902-57913 (2022) - [j7]Binod Poudel, Ali Bidram, Matthew J. Reno, Adam Summers:
Zonal Machine Learning-Based Protection for Distribution Systems. IEEE Access 10: 66634-66645 (2022) - [c21]Daniel Ruiz Garcia, Binod Poudel, Ali Bidram, Matthew J. Reno:
Substation-level Circuit Topology Estimation Using Machine Learning. ISGT 2022: 1-6 - [c20]Samuel T. Ojetola, Matthew J. Reno, Jack D. Flicker, Daniel Bauer, David Stoltzfuz:
Testing Machine Learned Fault Detection and Classification on a DC Microgrid. ISGT 2022: 1-5 - [c19]Shuva Paul, Santiago Grijalva, Miguel Jiménez-Aparicio, Matthew J. Reno:
Knowledge-Based Fault Diagnosis for a Distribution System with High PV Penetration. ISGT 2022: 1-5 - [c18]Adam Summers, Trupal Patel, Ronald Matthews, Matthew J. Reno:
Prediction of Relay Settings in an Adaptive Protection System. ISGT 2022: 1-5 - [c17]Samuel Talkington, Santiago Grijalva, Matthew J. Reno:
Sparse Time Series Sampling for Recovery of Behind-the-Meter Inverter Control Models. ISGT 2022: 1-5 - [c16]Felipe Wilches-Bernal, Miguel Jiménez-Aparicio, Matthew J. Reno:
An Algorithm for Fast Fault Location and Classification Based on Mathematical Morphology and Machine Learning. ISGT 2022: 1-5 - [c15]Felipe Wilches-Bernal, Miguel Jiménez-Aparicio, Matthew J. Reno:
A Machine Learning-based Method using the Dynamic Mode Decomposition for Fault Location and Classification. ISGT 2022: 1-5 - [c14]Miguel Jiménez-Aparicio, Matthew J. Reno, John W. Pierre:
The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms. UEMCON 2022: 395-401 - 2021
- [j6]Felipe Wilches-Bernal, Matthew J. Reno, Javier Hernandez-Alvidrez:
A Dynamic Mode Decomposition Scheme to Analyze Power Quality Events. IEEE Access 9: 70775-70788 (2021) - [j5]Felipe Wilches-Bernal, Ali Bidram, Matthew J. Reno, Javier Hernandez-Alvidrez, Pedro Barba, Benjamin Reimer, Rudy Montoya, Christopher Carr, Olga Lavrova:
A Survey of Traveling Wave Protection Schemes in Electric Power Systems. IEEE Access 9: 72949-72969 (2021) - [j4]Zachary K. Pecenak, Hamed Valizadeh Haghi, Changfu Li, Matthew J. Reno, Vahid R. Disfani, Jan Kleissl:
Aggregation of Voltage-Controlled Devices During Distribution Network Reduction. IEEE Trans. Smart Grid 12(1): 33-42 (2021) - [c13]Miguel Jiménez-Aparicio, Santiago Grijalva, Matthew J. Reno:
Fast Fault Location Method for a Distribution System with High Penetration of PV. HICSS 2021: 1-9 - [c12]C. Birk Jones, Adam Summers, Matthew J. Reno:
Machine Learning Embedded in Distribution Network Relays to Classify and Locate Faults. ISGT 2021: 1-5 - [c11]Aswathy Rajendra Kurup, Manel Martínez-Ramón, Adam Summers, Ali Bidram, Matthew J. Reno:
Deep learning based circuit topology estimation and fault classification in distribution systems. ISGT-Europe 2021: 1-5 - 2020
- [c10]Dimitrios Sikeridis, Ali Bidram, Michael Devetsikiotis, Matthew J. Reno:
A blockchain-based mechanism for secure data exchange in smart grid protection systems. CCNC 2020: 1-6 - [c9]Nicholas S. Gurule, Javier Hernandez-Alvidrez, Rachid Darbali-Zamora, Matthew J. Reno, Jack D. Flicker:
Experimental Evaluation of Grid-Forming Inverters Under Unbalanced and Fault Conditions. IECON 2020: 4057-4062 - [c8]Kavya Ashok, Matthew J. Reno, Deepak Divan:
Secondary Network Parameter Estimation for Distribution Transformers. ISGT 2020: 1-5
2010 – 2019
- 2019
- [j3]Jay Johnson, Jimmy E. Quiroz, Ricky J. Concepcion, Felipe Wilches-Bernal, Matthew J. Reno:
Power system effects and mitigation recommendations for DER cyberattacks. IET Cyper-Phys. Syst.: Theory & Appl. 4(3): 240-249 (2019) - [c7]Sijo Augustine, Sukumar M. Brahma, Matthew J. Reno:
Fault Current Control for DC Microgrid Protection Using an Adaptive Droop. ISIE 2019: 2591-2596 - 2018
- [c6]Logan Blakely, Matthew J. Reno, Robert J. Broderick:
Decision tree ensemble machine learning for rapid QSTS simulations. ISGT 2018: 1-5 - [c5]Qinmiao Li, Barry A. Mather, Jeremiah Deboever, Matthew J. Reno:
Fast QSTS for distributed PV impact studies using vector quantization and variable time-steps. ISGT 2018: 1-5 - 2017
- [c4]Jimmy E. Quiroz, Matthew J. Reno, Olga Lavrova, Raymond H. Byrne:
Communication requirements for hierarchical control of volt-VAr function for steady-state voltage. ISGT 2017: 1-5 - [c3]Matthew J. Reno, Robert J. Broderick:
Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems. ISGT 2017: 1-5 - [c2]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:
Integrated multi-scale data analytics and machine learning for the distribution grid. SmartGridComm 2017: 423-429 - 2016
- [b1]Matthew J. Reno:
Streamlined interconnection analysis of distributed PV using advanced simulation methods. Georgia Institute of Technology, Atlanta, GA, USA, 2016 - [j2]Jouni Peppanen, Matthew J. Reno, Robert J. Broderick, Santiago Grijalva:
Distribution System Model Calibration With Big Data From AMI and PV Inverters. IEEE Trans. Smart Grid 7(5): 2497-2506 (2016) - [c1]Jouni Peppanen, Xiaochen Zhang, Santiago Grijalva, Matthew J. Reno:
Handling bad or missing smart meter data through advanced data imputation. ISGT 2016: 1-5 - 2015
- [j1]Jouni Peppanen, Matthew J. Reno, Mohini Thakkar, Santiago Grijalva, Ronald G. Harley:
Leveraging AMI Data for Distribution System Model Calibration and Situational Awareness. IEEE Trans. Smart Grid 6(4): 2050-2059 (2015)
Coauthor Index
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