Feasibility Study of Neural ODE and DAE Modules for Power System Dynamic Component Modeling
Author:
Affiliation:
1. Department of Electrical Engineering, Tsinghua University, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10107552/09844253.pdf?arnumber=9844253
Reference36 articles.
1. Hamiltonian neural networks for solving equations of motion
2. Exploration of Artificial-intelligence Oriented Power System Dynamic Simulators
3. Identification of a continuous time nonlinear state space model for the external power system dynamic equivalent by neural networks
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