Application of Advance Techniques in Power and Energy Systems

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Inhaltsangabe

Visual Super Resolution Network (VSRN) for chest cancer detection.- Improving Epileptic Seizure Detection with Deep Learning: A Highly Efficient Approach.- PID and Neural Network Control Design for Quarter-Car Passive Suspension System.- PSO and ACO Techniques with Speed Controller Tun-ing for DTC Controlled Induction Motor Drive.- A Technique for Micro-grid Environment to Investigate islanding and Non-islanding.- Enhancing Real-Time Power Quality Monitoring: A Comprehensive Study on Feature Selection and Performance Analysis of Random Forest Classifiers.- Pattern and Prediction Analysis by using Different Data Mining Techniques for the Web Usage Data.- Performance Comparison of 45 nm CMOS based CDTA and 32 nm FinFET based CDTA and its application as Universal Filter.- The Server Access Pattern Analysis Based on Different Weblogs Classification Methods.- A simple search technique for solving non-linear objective function applicable to three-phase SAG.- Analysis of Microgrids Electric Vehicles Charging Stations with Hybrid Energy Storage System algorithm with AI.- Application of Particle Swarm Optimization Tuned Controllers for Automatic Voltage Regulator.- Comparative study and performance analysis for a static and Rotating Inverter of PV integrated Power System.- Performance Analysis of Fractional Order Extended Kalman Filter for State of Charge Estimation of Supercapacitor.- Modeling and Analysis of Double Star Chopper Cell Modular Multilevel Converter with Embedded Energy Sources.- Performance Analysis of Wind-Integrated Multi-Area Power Systems through Pitch Angle Variations.- Machine Learning Approach to Measure Terminal Voltage of Lithium-ion Batteries.- Cybersecurity on EV integrated smart grid system: Risks and potential remedies.- Role of Power Electronics in Power Quality Management of Smart Grid with AI interfacing.- The Effect of Aluminium-Doped LiNi0,8Mn0,1Co0,1O2 (NMC 811) Cathode on Lithium-Ion Battery Performance.

Produktdetails
  • Erscheinungsdatum: 19.04.2025
  • Autor/Autorin: Partha Sarathee Bhowmik
  • Reihe: Energy (R0)
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 32.6 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 505 Seiten
  • ISBN: 9789819604760
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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