<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">T. Wang</style></author><author><style face="normal" font="default" size="100%">X. Wei</style></author><author><style face="normal" font="default" size="100%">T. Huang</style></author><author><style face="normal" font="default" size="100%">J. Wang</style></author><author><style face="normal" font="default" size="100%">H. Peng</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author><author><style face="normal" font="default" size="100%">Luis Valencia-Cabrera</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Modeling Fault Propagation Paths in Power Systems: A New Framework Based on Event SNP Systems With Neurotransmitter Concentration</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Access</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Biocomputing</style></keyword><keyword><style  face="normal" font="default" size="100%">Computational modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">Ev-SNP system</style></keyword><keyword><style  face="normal" font="default" size="100%">event SNP systems</style></keyword><keyword><style  face="normal" font="default" size="100%">ex-ante fault propagation path prediction</style></keyword><keyword><style  face="normal" font="default" size="100%">Fault diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">fault propagation path</style></keyword><keyword><style  face="normal" font="default" size="100%">fault propagation relationship</style></keyword><keyword><style  face="normal" font="default" size="100%">inference mechanisms</style></keyword><keyword><style  face="normal" font="default" size="100%">large-scale power systems</style></keyword><keyword><style  face="normal" font="default" size="100%">large-scale systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">modeling fault propagation paths</style></keyword><keyword><style  face="normal" font="default" size="100%">neural nets</style></keyword><keyword><style  face="normal" font="default" size="100%">neural P systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Neurons</style></keyword><keyword><style  face="normal" font="default" size="100%">neurotransmitter concentration</style></keyword><keyword><style  face="normal" font="default" size="100%">Neurotransmitters</style></keyword><keyword><style  face="normal" font="default" size="100%">power engineering computing</style></keyword><keyword><style  face="normal" font="default" size="100%">power system</style></keyword><keyword><style  face="normal" font="default" size="100%">power system security</style></keyword><keyword><style  face="normal" font="default" size="100%">Power system stability</style></keyword><keyword><style  face="normal" font="default" size="100%">Probability</style></keyword><keyword><style  face="normal" font="default" size="100%">reduced order systems</style></keyword><keyword><style  face="normal" font="default" size="100%">reduction-SNP system</style></keyword><keyword><style  face="normal" font="default" size="100%">RSNP system</style></keyword><keyword><style  face="normal" font="default" size="100%">Spiking neural P system</style></keyword><keyword><style  face="normal" font="default" size="100%">synapses</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">12798-12808</style></pages></record></records></xml>