Optimizing Hybrid Renewable Energy Systems for Isolated Applications: A Modified Smell Agent Approach

Optimizing Hybrid Renewable Energy Systems for Isolated Applications: A Modified Smell Agent Approach

This paper presents the optimal sizing of a hybrid renewable energy system (HRES) for an isolated residential building using modified smell agent optimization (mSAO). The paper introduces a time-dependent approach that adapts the selection of the original SAO control parameters as the algorithm prog...

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Bibliographic Details
Main Authors: Manal Drici, Mourad Houabes, Ahmed Tijani Salawudeen, Mebarek Bahri
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Eng
Subjects:
energy management
hybrid renewable energy system (HRES)
meta-heuristic
algorithms
multisource
optimal sizing
Online Access:https://www.mdpi.com/2673-4117/6/6/120
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