APPLICATION OF DECOMPOSITION METHODS IN SHORT-TERM FORECASTING OF OVERALL ELECTRIC LOAD OF ENERGY SYSTEM | Zendy

І.В. Блінов | Zendy; V.V. Sychova | Zendy

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APPLICATION OF DECOMPOSITION METHODS IN SHORT-TERM FORECASTING OF OVERALL ELECTRIC LOAD OF ENERGY SYSTEM

Author(s) -

І.В. Блінов,

V.V. Sychova

Publication year - 2021

Publication title -

praci institutu elektrodinamiki nacionalanoi akademii nauk ukraini

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.

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