Machine Learning-Optimized Energy Management for Resilient Residential Microgrids with Dynamic Electric Vehicle Integration

This paper presents a novel machine learning (ML) enhanced energy management framework for residential microgrids. It dynamically integrates solar photovoltaics (PV), wind turbines, lithium-ion battery energy storage systems ... | Find, read and cite all the research you need on Tech Science Press

Authors

Publication Details

Journal
Journal on artificial intelligence
Published
2025-01-01
DOI
https://doi.org/10.32604/jai.2025.066067
Primary Topic
Electric Vehicles and Infrastructure
Type
article
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0.00
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article

Machine Learning-Optimized Energy Management for Resilient Residential Microgrids with Dynamic Electric Vehicle Integration

Mohammed M. Alenazi
2 links
Journal on artificial intelligence
Electric Vehicles and Infrastructure
article

Machine Learning-Optimized Energy Management for Resilient Residential Microgrids with Dynamic Electric Vehicle Integration

Mohammed M. Alenazi
article en

Abstract

This paper presents a novel machine learning (ML) enhanced energy management framework for residential microgrids. It dynamically integrates solar photovoltaics (PV), wind turbines, lithium-ion battery energy storage systems ... | Find, read and cite all the research you need on Tech Science Press

Journal on artificial intelligenceVol. 7(1)
Affordable and clean energy
Openalex Percentile: Top 86%
Electric Vehicles and Infrastructure
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Machine Learning-Optimized Energy Management for Resilient Residential Microgrids with Dynamic Electric Vehicle Integration — Mohammed M. Alenazi · Journal on artificial intelligence (2025) | TGRS Research Map | TGRS