13 papers
GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
Kutay Bölat, Simon Tindemans
Generative modelling of multi-user datasets has become prominent in science and engineering. Generating a data point for a given user requires employing user information, and conve…
The Living Forecast: Evolving Day-Ahead Predictions into Intraday Reality
Kutay Bölat, Peter Palensky, Simon Tindemans
Accurate intraday forecasts are essential for power system operations, complementing day-ahead forecasts that gradually lose relevance as new information becomes available. This pa…
Scalable Iterative Algorithm for Solving Optimal Transmission Switching with De-energization
Benoît Jeanson, Mathieu Tanneau, Simon Tindemans
Transmission System Operators routinely use transmission switching as a tool to manage congestion and ensure system security. Motivated by sub-transmission operations at RTE, this…
Feedback Enhancement of Time Series Aggregation for Power System Expansion Planning
Ruiqi Zhang, Ensieh Sharifnia, Simon H. Tindemans
As a consequence of the high variability of load demand and renewable generation, long-term and high-resolution inputs are required for power system expansion planning, making the…
Extreme value distributions of peak loads for non-residential customer segments
Shaohong Shi, Eric A. Cator, Jacco Heres +1
Electrical grid congestion is a growing challenge in Europe, driving the need for accurate prediction of load, particularly of peak load. Non-time-resolved models of peak load offe…
MLMC-based Resource Adequacy Assessment with Active Learning Trained Surrogate Models
Ruiqi Zhang, Simon H. Tindemans
Multilevel Monte Carlo (MLMC) is a flexible and effective variance reduction technique for accelerating reliability assessments of complex power system. Recently, data-driven surro…