A Comprehensive Review of the Smart Microgrids'' Modeling and

State-of-the-art frameworks and tools are built into innovative grid technologies to model different structures and forms of microgrids and their dynamic behaviors. Smart grids'' dynamic models were

Artificial intelligence for microgrids design, control, and maintenance

By integrating self-learning AI models with real-time microgrid controllers, operators can improve adaptability, optimize energy dispatch strategies, and enhance grid stability under dynamic

Control and estimation techniques applied to smart microgrids: A review

Smart grid technologies possess innovative tools and frameworks to model the dynamic behaviour of microgrids regardless of their types, structures, etc. Various control and estimation

An Overview of the Prospects and Challenges of Using Artificial

The paper first starts by presenting the conventional control system of microgrids and their energy management, along with the basics of AI tools and techniques. Then, the features and

Next-Generation Microgrids: Intelligent Modeling, Control, and

This Special Issue aims to gather high-quality research focused on the design, modeling, control, and optimization of microgrids that enhance energy sustainability and operational intelligence.

Advanced AI approaches for the modeling and optimization of

These AI models maximize the use of renewable energy, reduce wastage, and improve microgrid resilience and responsiveness to supply and demand fluctuations. Experiments

Microgrids Control Strategies and Real-Time Monitoring Systems:

Microgrids (MGs) technologies, with their advanced control techniques and real-time mon-itoring systems, provide users with attractive benefits including enhanced power quality, stability,

Artificial Intelligence for Resilient and Intelligent Microgrid Control

In urban environments, where energy demands are high and resources are often constrained, intelligent microgrids can play a pivotal role in ensuring sustainable and resilient energy

Microgrid energy management and monitoring systems: A

Microgrids are enabled by integrating such distributed energy sources into the utility grid. The microgrid concept is proposed to create a self-contained system composed of distributed energy

Integrated Models and Tools for Microgrid Planning and Designs

Resilience, efficiency, sustainability, flexibility, security, and reliability are key drivers for microgrid developments. These factors motivate the need for integrated models and tools for microgrid