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Advanced Analytics for Reliability and Resilience of Energy System

Specificaties
Paperback, blz. | Engels
Elsevier Science | 2026
ISBN13: 9780443247224
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Elsevier Science e druk, 2026 9780443247224
€ 208,59
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Samenvatting

Advanced Analytics for Reliability and Resilience of Energy Systems prepares students, researchers, and industry engineers to design and maintain reliable, sustainable energy systems using state-of-the-art AI techniques. This book provides a clear foundation in the fundamentals of power systems, statistics, and reliability, including resilience principles and strategies, practical applications, and real-world solutions. The AI tools presented range across forecasting, the Internet-of-Things, machine learning, digital twin technology, and big data analysis, with a variety of applications to avoid power outages, minimise disruption, and accurately assess system resilience. Including case studies and details methodology for practical techniques, Advanced Analytics for Reliability and Resilience of Energy Systems helps energy systems engineers and researchers to provide a stable and consistent power supply, in the face of climate change challenges and the energy transition

Specificaties

ISBN13:9780443247224
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

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