by E. O. Kontis, T. A. Papadopoulos, M. H. Syed, E. Guillo-Sansano, G. M. Burt and G. K. Papagiannis
Reference:
E. O. Kontis, T. A. Papadopoulos, M. H. Syed, E. Guillo-Sansano, G. M. Burt and G. K. Papagiannis, "Artificial-Intelligence Method for the Derivation of Generic Aggregated Dynamic Equivalent Models", IEEE Transactions on Power Systems, vol. 34, no. 4, Jul. 2019, pp. 2947-2956.
Bibtex Entry:
@ARTICLE{JR8,
author={E. O. Kontis and T. A. Papadopoulos and M. H. Syed and E. Guillo-Sansano and G. M. Burt and G. K. Papagiannis},
journal={IEEE Transactions on Power Systems},
title={Artificial-Intelligence Method for the Derivation of Generic Aggregated Dynamic Equivalent Models},
year={2019},
volume={34},
number={4},
pages={2947-2956},
keywords={artificial intelligence;distribution networks;dynamic response;neural nets;power system simulation;stochastic processes;dynamic analysis;active distribution networks;dynamic responses;equivalent model parameters;generic aggregated dynamic equivalent models;artificial neural network techniques;variable-order dynamic equivalent model;derivation;aggregated equivalent models;artificial-intelligence method;ADN;Power system dynamics;Load modeling;Analytical models;Reactive power;Generators;Computational modeling;Artificial neural networks;black-box modeling;clustering;dynamic modeling;measurement-based approach},
doi={10.1109/TPWRS.2019.2894185},
ISSN={},
month={Jul.},}