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Advanced Analytics for Reliability and Resilience of Energy System

Advanced Analytics for Reliability and Resilience of Energy System

          
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About the Book

Artificial Intelligence for Reliability and Maintainability of Energy Systems

Table of Contents:
Introduction 1. Enhancing Resilience of Power Transmission Systems Against Typhoon Disasters: A Hybrid Data-Model Driven Approach 2. Reliability of Power Electronics in Smart Grids 3. Electricity distribution grids resilience enhancement by network reconfiguration 4. Teaching learning-based optimized artificial neural network for predicting the maximum power point of a large-scale grid-connected solar PV system 5. A reliable PV system based on FPPT implementation incorporating forecasted load demand using Neural Network 6. Robust Stabilization Ellipsoidal Design for Normal and Contingency Operated Power Systems Using Markov Jump 7. From Review to Revolution: Innovative Under-Frequency Load Shedding for Enhanced Power System Resilience 8. Fault Detection and Classification in Hybrid AC/DC Systems Using Artificial Neural Networks 9. A Reliability Constrained Load Balancing Procedure for Neutral Current Reduction in Distribution Systems 10. The impact of cyber network configuration on the dynamic-thermal failure of transformers considering distributed generator controller 11. Operation of Energy Hub to Enhance Power System Resilience 12. Resilient Operation of Power and Gas Networks to Service Restoration 13. Challenges and Solutions in Power Sharing Control of Microgrids with Integrated Renewable Energy Sources 14. Statistical Analysis of Supervisory Control and Data Acquisition System for Maintenance Management of Photovoltaic Solar Power Plant 15. Small-Signal Stability Analysis and Compensation Control for DC Networked-Microgrid under Multiple Time Delays 16. Multiplexing Power Supply Networks with DC Sub-Grid: Control Strategy and Economic Impact Assessment


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Product Details
  • ISBN-13: 9780443247224
  • Publisher: Elsevier - Health Sciences Division
  • Publisher Imprint: Elsevier - Health Sciences Division
  • Height: 229 mm
  • No of Pages: 484
  • Weight: 450 gr
  • ISBN-10: 0443247226
  • Publisher Date: 15 Jan 2026
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 152 mm


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