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.},}