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Please use this identifier to cite or link to this item: https://ela.kpi.ua/handle/123456789/31292
Title: The features of the predictive computing modeling power system load in terms of reforming energy market
Other Titles: Особливості прогнозного моделювання навантаження енергосистеми з точки зору реформування енергетичного ринку
Особенности прогнозного моделирования нагрузки энергосистемы в условиях реформирования энергетического рынка
Authors: Terentiev, Oleksandr Mykolaiovych
Prosiankina-Zharova, Tetyana Ivanivna
Lakhno, Valerii Anatolievich
Usatiuk, Yana Volodymyrivna
Keywords: prognostic modelling
consumption
energy
power load
nonlinear processes
Generalized Linear Model
SAS Energy Forecasting
Statistical Analysis System
Issue Date: 31-Jan-2020
Publisher: Little Lion Scientific
Citation: The features of the predictive computing modeling power system load in terms of reforming energy market / O. M. Terentiev, T. I. Prosiankina-Zharova, V. A. Lаhno, Y. V. Usatiuk // Journal of Theoretical and Applied Information Technology. – 31st January 2020. – Vol. 98, No 02. – Pp. 163–182.
URI: https://ela.kpi.ua/handle/123456789/31292
ISSN: 1992-8645
1817-3195
Appears in Collections:Статті (ММСА)

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