Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4

EAIC 2024, 6-8 December, Nanjing, China
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Chapter 1. Improved Integrated Energy Systems Multi-Energy Load Deep Learning Joint Prediction Method Based On CEEMDAN.- Chapter 2. An Evaluation Method for Micro-Energy Networks Participating in the Electricity-Hydrogen Market Based on Cloud Model.- Chapter 3. Robust Optimisation Strategy For Distribution Of Integrated Energy Systems Considering Multiple Stakeholders.- Chapter 4. New Energy Power System Security and Stability Assessment Based on Apirori and Dynamic Weighted Cloud Model.- Chapter 5. A Review of Cluster Electric Vehicle Charging Scheduling Based on Multi-agent Deep Reinforcement Learning.- Chapter 6. Multi-Objective Optimization of Integrated Energy System Considering Double Uncertainty Of source and Load.- Chapter 7. False Data Injection Method Design for Power Sensors Based on Robust Principal Component Analysis.- Chapter 8. Key Technology of Joint Analysis of Cross-Modal Data for Integrated Service of Railroad Passenger Stations.- Chapter 9. A Two-step Soft Open Point Location And Capacity Determination Method Based On Power Flow Betweenness.- Chapter 10. Research on Intelligent Prediction Model of Ultra Short term Photovoltaic Power Generation Based on W-DA BiLSTM.- Chapter 11. Fault detection method of transmission sections based on GRU deep network.- Chapter 12. Construction and application of a grey prediction model based on periodical aggregation and periodical component factor.- Chapter 13. Research status and intelligent application of renewable energy hydrogen production and hydrogenation integrated station.- Chapter 14. Intelligent carbon emission accounting method based on deep learning algorithm.- Chapter 15. Remaining life prediction of motor bearing based on fusion degradation indicator.- Chapter 16. TD3 Deep Reinforcement Learning-Based Improved Sensorless MRAS Control Strategy for Multi-Electric Aircraft PMSM.- Chapter 17. Diagnosis of Interturn Short Circuit Faults in Switched Reluctance Machines Based on Parameter Optimized VMD and CNN-BiLST.- Chapter 18. YOLOv9-based Detection Method for Pyrotechnic Operations and Protective Equipment.- Chapter 19. Verification Method for Arc Suppression Coil Tracking Compensation Performance.- Chapter 20. Lithium battery SOC estimation based on BiLSTM MHSA.- Chapter 21. Neural Network-Based Adaptive Sliding Mode Control for Wheel Slip Ratio Control System.- Chapter 22. Comprehensive Decision-Making of Large-scale Rooftop Photovoltaic Access to Power Supply-guaranteed Microgrid.- Chapter 23. Trajectory planning of digital ray detection system for welding seam of double robot rocket tank based on MATLAB.- Chapter 24. Controllable Image Editing for Insulator Defect Generation and Detection.- Chapter 25. Topology Optimization of Offshore Wind Farm Collection System Based on Priority Queue Esau- Williams Algorith.- Chapter 26. Tabular image content reconstruction model for two- branch network design. Chapter 27. Volume Measurement Technology for Irregular Shaped Ice Cover Based on Multi-view 3D Reconstruction.

Produktdetails
  • Erscheinungsdatum: 11.04.2025
  • Autor/Autorin: Ronghai Qu
  • Reihe: Engineering
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 77.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 750 Seiten
  • ISBN: 9789819640591
  • 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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