2 papers
math.OC2025
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…
cs.LG2025
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…