Proceedings of the 1st Electrical Artificial Intelligence Conference, Volume 4 EAIC 2024, 6-8 December, Nanjing, China /

This book is the fourth volume of proceedings of the 1st Electrical Artificial Intelligence Conference (EAIC 2024). Artificial intelligence and low-carbon economy are two vibrant research fields in the world today. To achieve the goal of carbon neutrality not only signifies a significant transformat...

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Opis bibliograficzny
Korporacja: SpringerLink (Online service)
Kolejni autorzy: Qu, Ronghai (Redaktor), Song, Zhengxiang (Redaktor), Ding, Zhiming (Redaktor), Mu, Gang (Redaktor), Xiong, Rui (Redaktor), Han, Li (Redaktor)
Format: Elektroniczne E-book
Język:angielski
Wydane: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Wydanie:1st ed. 2025.
Seria:Lecture Notes in Electrical Engineering, 1397
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.1007/978-981-96-4059-1
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Spis treści:
  • 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.