Accurate Identification of Harmonic Distortion for Micro-Grids Using Artificial Intelligence-Based Predictive Models-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:83740-83763
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abed Ahmed M.¹^ORCID,El-Sehiemy Ragab A.²^ORCID,Bentouati Bachir³^ORCID,El-Arwash Hasnaa M.⁴^ORCID

Affiliation:

1. Department of Industrial Engineering, College of Engineering, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

2. Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafr El-Sheikh, Egypt

3. Department of Electrical Engineering, Université Amar Telidji Laghouat, Laghouat, Algeria

4. Department of Mechatronics Engineering, Alexandria Higher Institute of Engineering and Technology (AIET), Alexandria, Egypt

Funder

Prince Sattam bin Abdulaziz University as part of funding for its Sustainable Development Goals Roadmap Research Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10529291.pdf?arnumber=10529291

Reference79 articles.

1. Power Quality in Smart Grids

2. IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems

3. The Neural Network Classifier Works Efficiently on Searching in DQN Using the Autonomous Internet of Things Hybridized by the Metaheuristic Techniques to Reduce the EVs’ Service Scheduling Time

4. Discuss The Effect of The Third Organizational Efficiency Theory on Society and Economic Growth Via Depravity Axes Frustration by A Non-Linear Model (Depravity Aspects Benefits)

5. Point of Common Coupling Voltage Modulated Direct Power Control of Grid-Tied Photovoltaic Inverter for AC Microgrid Application

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