Multi-objective optimization of hybrid energy systems using gravitational search algorithm
Abstract The depletion of fossil fuel reserves, increasing environmental concerns, and energy demands of remote communities have increased the acceptance of using hybrid renewable energy systems (HRES). However, choosing an optimal HRES from economic, environmental, reliability, and sustainability a...
Saved in:
Main Authors: | Sayyed Mostafa Mahmoudi, Akbar Maleki, Dariush Rezaei Ochbelagh |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-86476-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization
by: Nazmiye Ebru Bulut, et al.
Published: (2025-01-01) -
Distinguishing Compact Objects in Extreme-Mass-Ratio Inspirals by Gravitational Waves
by: Lujia Xu, et al.
Published: (2025-01-01) -
Optimal multiobjective design of an autonomous hybrid renewable energy system in the Adrar Region, Algeria
by: Abderrahmane Mehallou, et al.
Published: (2025-02-01) -
Efficient parameter extraction in PV solar modules with the diligent crow search algorithm
by: Mostafa Jabari, et al.
Published: (2024-12-01) -
Controlled Non-Dominated Sorting Genetic Algorithms for Multi-Objective Optimal Design of Standalone and Grid-Connected Renewable Energy Systems in Integrated Energy Sectors
by: Hamza El Hafdaoui, et al.
Published: (2025-01-01)