Hannes Hagmar
Showing 12 publications
Real-time security margin control using deep reinforcement learning
Deep Reinforcement Learning for Long-Term Voltage Stability Control
Data-driven methods for real-time dynamic stability assessment and control
Impact of static and dynamic load models on security margin estimation methods
Real-time Security Margin Control Using Deep Reinforcement Learning
Voltage Instability Prediction Using a Deep Recurrent Neural Network
Fast dynamic voltage security marginestimation: concept and development
Fast Dynamic Voltage Security Margin Estimation: Concept and Development
On-line Voltage Instability Prediction using an Artificial Neural Network
Integration Aspects of Full Converter Wind Turbines and the Impact on Long-term Voltage Stability
A Survey of Voltage Stability Indicators Based on Local Synchronized Phasor Measurements
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Showing 2 research projects
Machine Learning-based Real-Time Optimal Control for Sustainable and Secure Power Systems