Big Data Application in Power Systems (eBook, ePUB)

Redaktion: Arghandeh, Reza; Zhou, Yuxun

• Format: ePub

Produktbeschreibung

Big Data Application in Power Systems, Second Edition presents a thorough update of the previous volume, providing readers with step-by-step guidance in big data analytics utilization for power system diagnostics, operation, and control. Bringing back a team of global experts and drawing on fresh, emerging perspectives, this book provides cutting-edge advice for meeting today's challenges in this rapidly accelerating area of power engineering. Divided into three parts, this book begins by breaking down the big picture for electric utilities, before zooming in to examine theoretical problems and solutions in detail. Finally, the third section provides case studies and applications, demonstrating solution troubleshooting and design from a variety of perspectives and for a range of technologies. Readers will develop new strategies and techniques for leveraging data towards real-world outcomes. Including five brand new chapters on emerging technological solutions, Big Data Application in Power Systems, Second Edition remains an essential resource for the reader aiming to utilize the potential of big data in the power systems of the future. - Provides a total refresh to include the most up-to-date research, developments, and challenges - Focuses on practical techniques, including rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches for processing high dimensional, heterogeneous, and spatiotemporal data - Engages with cross-disciplinary lessons, drawing on the impact of intersectional technology including statistics, computer science, and bioinformatics - Includes five brand new chapters on hot topics, ranging from uncertainty decision-making to features, selection methods, and the opportunities provided by social network data

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 500
• Erscheinungstermin: 1. Juli 2024
• Englisch
• ISBN-13: 9780443219511
• Artikelnr.: 72237448

Inhaltsangabe

Section One: Harness the Big data from Power Systems 1. A Holistic Approach
to Becoming a Data-driven Utility 2. Security and Data Privacy Challenges
for Data-driven Utilities 3. The Role of Big Data and Analytics in
Utilities Innovation 4. Big Data integration for the digitalisation and
decarbonisation of distribution grids Section Two: Put the Power of Big
data into Power Systems 5. Topology Detection in Distribution Networks with
Machine Learning 6. Grid Topology Identification via Distributed
Statistical Hypothesis Testing 7. Learning Stable Volt/Var Controllers in
Distribution Grids 8. Grid-edge Optimization and Control with Machine
Learning 9. Fault Detection in Distribution Grid with Spatial-Temporal
Recurrent Graph Neural Networks 10. Distribution Networks Events Analytics
using Physics-Informed Graph Neural Networks 11. Transient Stability
Predictions in Power Systems using Transfer Learning 12. Misconfiguration
Detection of Inverter-based Units in Power Distribution Grids using Machine
Learning 13. Virtual Inertia Provision from Distribution Power Systems
using Machine Learning 14. Electricity Demand Flexibility Estimation in
Warehouses using Machine Learning 15. Big Data Applications in Electric
Power Systems: The Role of Explainable Artificial Intelligence (XAI) in
Smart Grids 16. Photovoltaic and Wind Power Forecasting Using Data-Driven
Techniques: an overview and a distribution-level case study 17. Grid
resilience against wildfire with Machine Learning