Advancements in Smart Energy Systems

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.

• Erscheinungsdatum: 06.03.2026
• Autor/Autorin: Mahmoud Elsisi
• Reihe: Energy (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 23.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 291 Seiten
• ISBN: 9783032174628
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.