Risk vs. restriction—An investigation of capacity-limitation based congestion management in electric distribution grids

Improved Anomaly Detection and Localization Using Whitening-Enhanced Autoencoders

Capturing Chronology and Extreme Values of Representative Days for Planning of Transmission Lines and Long-Term Energy Storage Systems

Supervised Learning for Fault Classification Using Hybrid Training Datasets

Residential Demand-Side Flexibility Provision Under a Multi-Level Segmented Tariff

Mean Field Game for Strategic Bidding of Energy Consumers in Congested Distribution Networks

Congestion management in electricity distribution networks: Smart tariffs, local markets and direct control

Reinforcement Learning by Guided Safe Exploration

Flexibility Framework With Recovery Guarantees for Aggregated Energy Storage Devices

Training and Transferring Safe Policies in Reinforcement Learning

Potential and challenges of AI-powered decision support for short-term system operations

Refined Risk Management in Safe Reinforcement Learning with a Distributional Safety Critic

State Estimation in Medium Voltage Distribution Networks using Pseudo Measurements

Generating multivariate load states using a conditional variational autoencoder

What is a good distribution network tariff?—Developing indicators for performance assessment: Developing indicators for performance assessment

Safety-constrained reinforcement learning with a distributional safety critic

Composite Power System Reliability (TR99)

Multilevel Monte Carlo with Surrogate Models for Resource Adequacy Assessment

Composite Power System Reliability with Renewables and Customer Flexibility

Clarifying the Interpretation and Use of the LOLE Resource Adequacy Metric