Work

A Novel Hybrid Signal Processing Based Deep Learning Method for Cyber-Physical Resilient Harbor Integrated Shipboard Microgrids

Year: 2025

Type: article

Source: IEEE Transactions on Industry Applications

DOI: 10.1109/tia.2025.3590339

Authors: Zulfiqar Ali, Tahir Hussain, Chun-Lien Su, Giuseppe Parise, Kent Sayler, Muhammad Sadiq, Anca Delia Jurcut, Mahmoud Elsisi

Institutions: National Kaohsiung University of Science and Technology, University of Electro-Communications, Sapienza University of Rome, University of Malta, University College Dublin

Language: English

Topic: Smart Grid Security and Resilience

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funder: National Science and Technology Council

Awards: Development of Edgepmu and Aggregator Dispatch Techniques to Support Renewable-Rich Advanced Distribution System Operation and Management( II ), Dynasty: Dynamic Inertia Analysis and Estimation in Low-Inertia Grids, A Study on Integration Controls of Inverter-Based Resources and Statcoms in Offshore Wind Farms for Enhancing Power System Voltage Stability

OpenAlex ID: W4412871908

FWCI: 5.852

Cites: 38

Cited by: 22

Related to: 10