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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Ahmed M. Abed, Ragab A. El-Sehiemy, Bachir Bentouati, Hasnaa M. El-Arwash
Format: Artykuł
Język:English
Wydane: IEEE 2024-01-01
Seria:IEEE Access
Hasła przedmiotowe:
ANNs
ETAP
harmonic distortion
machine learning
micro-grid
Dostęp online:https://ieeexplore.ieee.org/document/10529291/

Internet

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

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