Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models

Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models

This paper proposes an accurate harmonic identification strategy for microgrids and distributed power systems. The harmonic identification strategy is one of the complex tasks in microgrids due to the need of high computational burden in terms of memory and computational time. The complexity of the...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Ahmed M. Abed, Ragab A. El-Sehiemy, Bachir Bentouati, Hasnaa M. El-Arwash
Format: Artikel
Sprache:English
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
ANNs
ETAP
harmonic distortion
machine learning
micro-grid
Online Zugang:https://ieeexplore.ieee.org/document/10529291/

Online

https://ieeexplore.ieee.org/document/10529291/

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