Forecasting of Dynamic Processes in Electrical Engineering Using Discrete Macromodeling

被引：0

作者：

Hoholyuk, Oksana ^{[1
]}

Stakhiv, Petro ^{[1
]}

Musykhina, Nataliia ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, Dept Theoret & Gen Elect Engn, Lvov, Ukraine

来源：

2022 23RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEMS OF ELECTRICAL ENGINEERING (CPEE) | 2022年

关键词：

dynamic process; optimization; forecasting; power consumption);

D O I：

10.1109/CPEE56060.2022.9919413

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The growing need to increase the energy efficiency of power supply systems and the use of innovative technologies, require adequate and accurate determination of consumed and generated electricity. To solve the problem of forecasting, it is proposed to carry out mathematical macromodeling using discrete autonomous macromodels in the form of a "black box" with subsequent adaptation of the models to computer simulation tools. An example of the model of short-term energy consumption of an electric power facility using a discrete macromodel in the form of state variables is considered.

引用

页数：4

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