Abstract: We analyze and contrast two ways to train machine learning models for solving AC optimal power flow (OPF) problems, distinguished with the loss functions used. The first trains a mapping ...

To address passenger flow prediction challenges, machine learning based methods ... based end-to-end learning approach for passenger flow, where we design a train regulation-based loss function as the ...