Big Data Application in Power Systems

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

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• Geração e distribuição de energia
• Engenharia electrotécnica

<p>Big data; big data analytics; machine learning; deep learning; power systems; energy systems; uncertainty; power distribution</p>