Soft-switching predictive Type-3 fuzzy control for microgrid energy management

Soft-switching predictive Type-3 fuzzy control for microgrid energy management

Abstract Because each mode has distinct optimization requirements, optimizing the economic performance of microgrids (MGs) in grid-connected and islanded modes presents unique issues. This research offers a novel methodology to overcome this difficulty and better use renewable resources while satisf...

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Bibliographic Details
Main Authors: Walid Ayadi, Jafar Tavoosi, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Energy Informatics
Subjects:
Economic optimization
Soft switching
Fuzzy control
Machine learning
Artificial intelligence
SMC
Online Access:https://doi.org/10.1186/s42162-025-00508-6
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https://doi.org/10.1186/s42162-025-00508-6

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