Litcius/Paper detail

Artificial Neural Network-Based Nonlinear Black-Box Modeling of Synchronous Generators

Mihailo Micev, Martin Ćalasan, Milovan Radulović, Shady H. E. Abdel Aleem, Hany M. Hasanien, Ahmed F. Zobaa

2022IEEE Transactions on Industrial Informatics14 citationsDOI

Abstract

Data availability: The complete experimental measurements presented in Figs. 6 and 7, along with some of the used Matlab codes and Simulink models, are located on the following link: https://drive.google.com/file/d/1OlNfo56QIgJUaKioGhenOJ28WNt88y3/view?usp=sharing. It can be downloaded with the permission of the authors.

Topics & Concepts

Nonlinear autoregressive exogenous modelControl theory (sociology)Artificial neural networkNonlinear systemGenerator (circuit theory)Autoregressive modelBlack boxPermanent magnet synchronous generatorComputer scienceElectric power systemEngineeringControl engineeringVoltagePower (physics)Artificial intelligenceMathematicsControl (management)Quantum mechanicsEconometricsPhysicsElectrical engineeringPower System Optimization and StabilityPower Quality and HarmonicsEnergy Load and Power Forecasting