Please use this identifier to cite or link to this item: http://dspace.tnpu.edu.ua/handle/123456789/16818
Title: Identification the Model of Electric Power Generation by Small Hydroelectric Power Station Based on Artificial Bee Colony Algorithm
Authors: Dyvak, Mykola
Oliinyk, Iryna
Sopiha, Mykhailo
Sopiha, Viktor
Franko, Yuriy
Bibliographic description (Ukraine): Identification the Model of Electric Power Generation by Small Hydroelectric Power Station Based on Artificial Bee Colony Algorithm / M. Dyvak еt al. // 10th International Conference on Advanced Computer Information Technologies (ACIT). Deggendorf : IEEE, 2020. P. 113-116
Issue Date: 16-Sep-2020
Publisher: IEEE
Keywords: mathematical model
bee colony algorithm (ABC)
parametric identification
interval data
interval data analysis
small hydroelectric power station (SHEPS)
Abstract: Solution the task of parametric identification the mathematical model of electric power generation by a small hydroelectric power station based on artificial bee colony algorithm are proposed in this article.
URI: http://dspace.tnpu.edu.ua/handle/123456789/16818
ISBN: 978-1-7281-6759-6
Appears in Collections:Тези конференцій

Files in This Item:
File Description SizeFormat 
Franko_Identification_Model_Electric.pdf1,16 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.