2 papers
cs.LG2025
Comparing Traditional and Reinforcement-Learning Methods for Energy Storage Control
Elinor Ginzburg, Itay Segev, Yoash Levron +1
We aim to better understand the tradeoffs between traditional and reinforcement learning (RL) approaches for energy storage management. More specifically, we wish to better underst…
eess.SP2025
Bi-Residual Neural Network based Synchronous Motor Electrical Faults Diagnosis: Intra-link Layer Design for High-frequency Features
Qianchao Wang, Leena Heistrene, Yoash Levron +2
In practical resource-constrained environments, efficiently extracting the potential high-frequency fault-critical information is an inherent problem. To overcome this problem, thi…