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PMU Algorithms Based on Adaptive Taylor–Fourier Models: A Three-Phase Compressive Sensing Method for Spectral Support Recovery

Title: PMU Algorithms Based on Adaptive Taylor–Fourier Models: A Three-Phase Compressive Sensing Method for Spectral Support Recovery
Authors: Frigo, Guglielmo; Attilio Pegoraro, Paolo; Toscani, Sergio
Contributors: SFOE QUINPORTION Research Program; European Union—Next Generation EU, Mission 4, Component 2 through Italian Ministerial; PRIN 2022 “Smart Grid-Connected Power Converters Based on Advanced Synchrophasor-Inspired Harmonics Measurements for Holistic Integration Of Renewable Energy Sources (POWERHERO)”; “Next- Generation Distributed Synchronized Measurement Systems for Smart Grids With Self-Diagnostics Capabilities and Self-Improvement of Information Quality”
Source: IEEE Transactions on Instrumentation and Measurement ; volume 74, page 1-14 ; ISSN 0018-9456 1557-9662
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2025
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1109/tim.2025.3552878
Availability: https://doi.org/10.1109/tim.2025.3552878; http://xplorestaging.ieee.org/ielx8/19/10764799/10934032.pdf?arnumber=10934032
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.AD12CEB3
Database: BASE