Advancements in Smart Energy Systems

Advancements in Smart Energy Systems portes grátis

Advancements in Smart Energy Systems

Modeling, Simulation, and Security in Electric Vehicles and Microgrids

Su, Chun-Lien; Elsisi, Mahmoud; Rinanto, Noorman; Amer, Mohammed

Springer Nature Switzerland AG

04/2026

291

Dura

Inglês

9783032174611

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Considerations for Designing an Electric Vehicle Prototype Using Numerical Analysis.- False Data Injection Attacks Modeling and Impact in Microgrids: Case Study on Smart Inverters.- Deep Learning-Based Smart Inverters for False Data Injection Attack Detection.- Numerical Simulation of Lithium-Iron Phosphate Battery Cell SoC Estimation Based on Thermal Effects.- Optimal Sizing, Feasibility Analysis, and Key Issues of Grid-Connected Solar Power Plants in Distribution Networks.- CBF-FLL Control-Based Voltage Source Converter for Power Quality Improvement in Distributed Power Generation Systems.- Enhancing Algorithm Efficiency and Learning Through Non-Linear Data Structure Innovations.- Implementing a Solar Cell Tracking and Monitoring System in Rural Palestinian Areas.- Real-Time Energy Storage Management in Electric Vehicle Fleets for Optimized Grid Integration.- Optimizing Maximum Power Point Tracking (MPPT) Using Metaheuristic Approximation in Charging Condition.- Smart Grid Evolution through AI-Driven Approaches: A Technological Landscape.- Review on Recent Development of Artificial Intelligence and Machine Learning Approaches in Energy Applications.
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Electric vehicle design;Smart grid cybersecurity;Lithium-iron phosphate batteries;Deep learning in energy systems;Microgrid security and resilience;Battery performance modeling;Numerical simulations for energy systems