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...

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Autori principali: Ahmed M. Abed, Ragab A. El-Sehiemy, Bachir Bentouati, Hasnaa M. El-Arwash
Natura: Articolo
Lingua:English
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
Soggetti:
ANNs
ETAP
harmonic distortion
machine learning
micro-grid
Accesso online:https://ieeexplore.ieee.org/document/10529291/

Accesso online

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

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