Geodesic
Intelligent algorithms of power grid's state identification
Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2011), pp. 45-50 Cet article a éte moissonné depuis la source Math-Net.Ru

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A technology for estimating the dynamics of power grid's generating facilities participation in overall primary frequency regulation in contingencies is developed based on frequency and generating capacity time series. The paper discusses process identification algorithms based on virtual fuzzy models design using process data archives and knowledge bases. Associative search methods are used for identification algorithms development.
Mots-clés : process identification
Keywords: knowledgebase, associative search models, soft sensors. 
@article{ITVS_2011_3_a5,
     author = {N. N. Bakhtadze and V. A. Lototsky and E. M. Maximov and N. E. Maximova},
     title = {Intelligent algorithms of power grid's state identification},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {45--50},
     year = {2011},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2011_3_a5/}
}
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N. N. Bakhtadze; V. A. Lototsky; E. M. Maximov; N. E. Maximova. Intelligent algorithms of power grid's state identification. Informacionnye tehnologii i vyčislitelnye sistemy, no. 3 (2011), pp. 45-50. http://geodesic.mathdoc.fr/item/ITVS_2011_3_a5/