Title :
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
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;
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
DOI :
10.1109/IS.2008.4670444
