Open AccessAPPLICATION OF DECOMPOSITION METHODS IN SHORT-TERM FORECASTING OF OVERALL ELECTRIC LOAD OF ENERGY SYSTEM
Author(s) -
I. Yu. Blinov,
V. Sychova
Publication year - 2021
Publication title -
pracì ìnstitutu elektrodinamìki nacìonalʹnoï akademìï nauk ukraïni/pracì ìnstitutu elektrodìnamiki nacìonalʹnoï akademìï nauk ukraïni
Language(s) - English
Resource type - Journals
eISSN - 1727-9895
pISSN - 2786-7064
DOI - 10.15407/publishing2021.59.068
Subject(s) - term (time) , decomposition , homogeneous , component (thermodynamics) , electric power system , energy (signal processing) , table (database) , electric power , electrical load , computer science , algorithm , power (physics) , mathematics , statistics , data mining , thermodynamics , physics , ecology , combinatorics , quantum mechanics , biology
Based on the performed researches the method of decomposition of graphs of total electric loading of power system with application of a method of Hilbert-Huang is improved. This approach allows obtaining a homogeneous basic component of electrical load and temperature component, which has a close correlation with air temperature, which improves the accuracy of short-term forecasting. The results of testing the developed mathematical model are given. Ref. 9, fig. 1, table.