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...

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Autores principales:	Ahmed M. Abed, Ragab A. El-Sehiemy, Bachir Bentouati, Hasnaa M. El-Arwash
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2024-01-01
Colección:	IEEE Access
Materias:	ANNs ETAP harmonic distortion machine learning micro-grid
Acceso en línea:	https://ieeexplore.ieee.org/document/10529291/
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