Matthew J. Reno

According to our database, Matthew J. Reno authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-Driven Affinely Adjustable Robust Volt/VAr Control.

Naihao Shi, Rui Cheng, Liming Liu, Zhaoyu Wang, Qianzhi Zhang, Matthew J. Reno

IEEE Trans. Smart Grid, January, 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

Protection Approaches for Self-Healing Microgrids Using Only Local Measurements.

Jubair Yusuf, Michael E. Ropp, Matthew J. Reno

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

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 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

Online Data-Driven Detection of Phase Changes in Evolving Distribution Systems.

Bethany D. Peña, Logan Blakely, Matthew J. Reno

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Aggregation of Solar and Type 4 Wind Farms for Short Circuit Studies.

Trupal Patel, Sukumar Brahma, Matthew J. Reno

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 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

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 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

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

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

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

2022

A Framework for Coordinated Self-Assembly of Networked Microgrids Using Consensus Algorithms.

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

IEEE Access, 2022

Zonal Machine Learning-Based Protection for Distribution Systems.

Binod Poudel, Ali Bidram, Matthew J. Reno, Adam Summers

IEEE Access, 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

The High-Resolution Wavelet Transform: A Generalization of the Discrete Wavelet Transforms.

Miguel Jiménez-Aparicio, Matthew J. Reno, John W. Pierre

Proceedings of the 13th IEEE Annual Ubiquitous Computing, 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

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 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

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Sparse Time Series Sampling for Recovery of Behind-the-Meter Inverter Control Models.

Samuel Talkington, Santiago Grijalva, Matthew J. Reno

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Prediction of Relay Settings in an Adaptive Protection System.

Adam Summers, Trupal Patel, Ronald Matthews, Matthew J. Reno

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Knowledge-Based Fault Diagnosis for a Distribution System with High PV Penetration.

Shuva Paul, Santiago Grijalva, Miguel Jiménez-Aparicio, Matthew J. Reno

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 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

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

Substation-level Circuit Topology Estimation Using Machine Learning.

Daniel Ruiz Garcia, Binod Poudel, Ali Bidram, Matthew J. Reno

Proceedings of the 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2022

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

A Dynamic Mode Decomposition Scheme to Analyze Power Quality Events.

Felipe Wilches-Bernal, Matthew J. Reno, Javier Hernandez-Alvidrez

IEEE Access, 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

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

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021

Machine Learning Embedded in Distribution Network Relays to Classify and Locate Faults.

C. Birk Jones, Adam Summers, Matthew J. Reno

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2021

Fast Fault Location Method for a Distribution System with High Penetration of PV.

Miguel Jiménez-Aparicio, Santiago Grijalva, Matthew J. Reno

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

Secondary Network Parameter Estimation for Distribution Transformers.

Kavya Ashok, Matthew J. Reno, Deepak Divan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 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

Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A blockchain-based mechanism for secure data exchange in smart grid protection systems.

Dimitrios Sikeridis, Ali Bidram, Michael Devetsikiotis, Matthew J. Reno

Proceedings of the IEEE 17th Annual Consumer Communications & Networking Conference, 2020

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

Fault Current Control for DC Microgrid Protection Using an Adaptive Droop.

Sijo Augustine, Sukumar M. Brahma, Matthew J. Reno

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

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

Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

Decision tree ensemble machine learning for rapid QSTS simulations.

Logan Blakely, Matthew J. Reno, Robert J. Broderick

Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018

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

Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems.

Matthew J. Reno, Robert J. Broderick

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Communication requirements for hierarchical control of volt-VAr function for steady-state voltage.

Jimmy E. Quiroz, Matthew J. Reno, Olga Lavrova, Raymond H. Byrne

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

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

Handling bad or missing smart meter data through advanced data imputation.

Jouni Peppanen, Xiaochen Zhang, Santiago Grijalva, Matthew J. Reno

Proceedings of the 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2016

2015

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