Publications and Products

NM EPSCoR-supported faculty and students disseminate their work in a variety of formats including journal articles, book chapters, conference proceedings, and data products. Click on an author's name to discover other publications by that author.



Displaying 1 - 15 of 216

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Mitigation of limitation imposed on hosting capacity in low voltage networks by their distribution transformer loading and degradation considerations

Journal Article:
IET Energy Systems Integration

Agaba Ame-Oko, Olga Lavrova

Mar. 2024
Abstract

Deep semi-supervised electricity theft detection in AMI for sustainable and secure smart grids

Journal Article:
Sustainable Energy, Grids and Networks

Ruobin Qi, Qingqing Li, Zhirui Luo, Jun Zheng, Sihua Shao

Dec. 2023
Abstract

Modeling of Inverter-Based Resources for Protection Studies Considering Momentary Cessation

Conference Paper:
IEEE Innovation Smart Grid Technologies Latin America (ISGT LA)

Ali Bidram, Matthew Reno, Trupal Patel, Daniel Kelly, Yazid Alkraimeen

Nov. 2023
Abstract

Resource Guide for Postdoctoral Researcher Development

Report:

Selena Connealy, William Michener, Rick Schumaker, Barbara Bruno, April Heyward, Alice Veazey

Oct. 2023
Abstract

±0.15 V three-stage bulk-driven AB OTA with 36 MHzpF/µW and 55(V/µs)pF/µW small and large-signal figures of merit

Journal Article:
Electronic Letters

Manaswini Gangineni, Jaime Ramirez, Anindita Paul, Jesus Molinar, Alejandro Diaz-Sanchez, Jesus Huerta-Chua, Olga Lavrova

Oct. 2023
Abstract

An Efficient Strategy to Count Cycles in the Tanner Graph of Quasi-Cyclic LDPC Codes

Journal Article:
IEEE Journal on Selected Areas in Information Theory

Anthony Gomez-Fonseca, Roxana Smarandache, David Mitchell

Sep. 2023
Abstract

DeepTPA-Net: A Deep Triple Attention Network for sEMG-based Hand Gesture Recognition

Journal Article:
IEEE Access

Qingqing Li, Zhirui Luo, Ruobin Qi, Jun Zheng

Sep. 2023
Abstract

Error Propagation Mitigation in Sliding Window Decoding of Spatially Coupled LDPC Codes

Journal Article:
IEEE Journal on Selected Areas in Information Theory

Min Zhu, David Mitchell, Michael Lentmaier, Daniel Costello

Sep. 2023
Abstract

Specific energy consumption based comparison of distributed additive and conventional manufacturing: From cradle to gate partial life cycle analysis

Journal Article:
Journal of Cleaner Production

Casey Tran, Laura Duenas, Satyajayant Misra, Vimal Chaitanya

Sep. 2023
Abstract

Deep learning algorithms for very short term solar irradiance forecasting: A survey

Journal Article:
Renewable and Sustainable Energy Reviews

Meenu Ajith, Manel Martínez-Ramón

Aug. 2023
Abstract

DRUM: A Real Time Detector for Regime Shifts in Data Streams via an Unsupervised, Multivariate Framework

Conference Paper:
Lecture notes in computer science

Adnan Bashir, Trilce Estrada

Aug. 2023
Abstract

Electric Load Forecasting Using Multiple Output Gaussian Processes and Multiple Kernel Learning

Conference Paper:
2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA)

Alireza Ghasempour, Manel Martínez-Ramón

Jul. 2023
Abstract

Ensemble models for circuit topology estimation, fault detection and classification in distribution systems

Journal Article:
Sustainable Energy, Grids and Networks

Aswathy Kurup, Adam Summers, Ali Bidram, Matthew Reno, Manel Martínez-Ramón

Jun. 2023
Abstract

On the Tanner Cycle Distribution of QC-LDPC Codes from Polynomial Parity-Check Matrices

Conference Paper:
023 IEEE International Symposium on Information Theory (ISIT)

Anthony Gomez-Fonseca, Roxana Smarandache, David Mitchell

Jun. 2023
Abstract

An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection

Journal Article:
IET Renewable Power Generation

Jeewon Choi, Behshad Roshanzadeh, Manel Martínez-Ramón, Ali Bidram

May. 2023
Abstract