Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
In this work we address the problem of accelerating complex power-grid simulation through machine learning (ML). Specifically, we develop a framework, Smart-PGSim, which generates multitask-learning (MTL) neural network (NN) models to predict the initial values of variables critical to the problem convergence. MTL models allow information sharing when predicting multiple …