Multi-Objective Optimization of an Islanded Green Energy System Utilizing Sophisticated Hybrid Metaheuristic Approach-Reference-Cited by-同舟云学术

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Multi-Objective Optimization of an Islanded Green Energy System Utilizing Sophisticated Hybrid Metaheuristic Approach

Published:2023 Issue: Volume:11 Page:103044-103068
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Güven Aykut Fatih¹^ORCID,Yörükeren Nuran²^ORCID,Tag-Eldin Elsayed³^ORCID,Samy Mohamed Mahmoud⁴^ORCID

Affiliation:

1. Faculty of Engineering, Yalova University, Yalova, Turkey

2. Faculty of Engineering, Kocaeli University, Kocaeli, Turkey

3. Faculty of Engineering and Technology, Future University in Egypt, New Cairo, Egypt

4. Faculty of Engineering, Beni-Suef University, Beni Suef, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10185970.pdf?arnumber=10185970

Reference52 articles.

1. Multi-objective optimization of hybrid solar/wind/diesel/battery system for different climates of Iran

2. Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria

3. Techno-economic assessment of a stand-alone hybrid solar-wind-battery system for a remote island using genetic algorithm

4. Multi-Objective Sizing Optimization of Hybrid Renewable Energy Microgrid in a Stand-Alone Marine Context

5. A hybrid particle swarm optimization algorithm

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