3 papers
eess.SP2025
RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials
Sel Ly, Rufan Yang, Ninad Dixit +1
Lithium-ion batteries are the major type of battery used in a variety of everyday applications, including electric vehicles (EVs), mobile devices, and energy storage systems. Predi…
eess.SY2025
Meta-model Neural Process for Probabilistic Power Flow under Varying N-1 System Topologies
Sel Ly, Kapil Chauhan, Anshuman Singh +1
The probabilistic power flow (PPF) problem is essential to quantifying the distribution of the nodal voltages due to uncertain injections. The conventional PPF problem considers a…
eess.SY2025
Chance-constrained Solar PV Hosting Capacity Assessment for Distribution Grids Using Gaussian Process and Logit Learning
Sel Ly, Anshuman Singh, Petr Vorobev +2
Growing penetration of distributed generation such as solar PV can increase the risk of over-voltage in distribution grids, affecting network security. Therefore, assessment of the…