Feedforward neural network with a specialized architecture for estimation of the temperature influence on the electric load

Author

Bodyanskiy, Yevgeniy ; Popov, Sergiy ; Rybalchenko, Taras

Author_Institution

Control Syst. Res. Lab., Kharkiv Nat. Univ. of Radio Electron., Kharkiv

Volume

1

fYear

2008

fDate

6-8 Sept. 2008

Firstpage

42565

Lastpage

42569

Abstract

The problem of temperature-load relationship revealing is considered. A specialized architecture of a feedforward neural network is proposed that provides separation of temperature influence from other factors and its analysis in an explicit form. The proposed approach is illustrated by computational experiments with data from two locations with different climatic conditions.

Keywords

feedforward neural nets; load forecasting; power engineering computing; electric load; feedforward neural network; specialized architecture; temperature influence; temperature-load relationship revealing; Computer architecture; Cooling; Feedforward neural networks; Load forecasting; Neural networks; Power system analysis computing; Resistance heating; Shape; Telephony; Temperature; Electric load forecasting; neural networks; specialized architecture; temperature-load relationship;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2008. IS '08. 4th International IEEE Conference

Conference_Location

Varna

Print_ISBN

978-1-4244-1739-1

Electronic_ISBN

978-1-4244-1740-7

Type

conf

DOI

10.1109/IS.2008.4670444

Filename

4670444