This study focuses on a comprehensive review of applications of artificial intelligence strategies on hybrid renewable microgrids for optimization, power q...
Each article underwent a comprehensive full-text assessment using a three-level Likert scale based on criteria such as r…
The purpose of this study is to present a comprehensive, up-to-date review of RERs integration on grid to evaluate resea…
State-of-the-art frameworks and tools are built into innovative grid technologies to model different structures and form…
Reviews microgrid architecture, key components, and control strategies. Highlights various AI models along with their ch…
This article provides a comprehensive review of AI techniques in microgrid control, examining their applications in ener…
This study focuses on a comprehensive review of applications of artificial intelligence strategies on hybrid renewable m…
This paper includes a comprehensive review of IoT, cloud computing, big data, AI, ML, blockchain in microgrid and the co…
The developmental trends of AI-enabled wearable microgrids are categorized into three proposed generations, with an in-d…
The primary goals are to optimize energy management, control techniques, and AI applications in microgrids. The study cr…
The transition to sustainable and intelligent energy systems has intensified the development of smart microgrids, which …
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