Artificial Neural Networks Applied To Short Term Load Diagram Prediction

Author

Hodzic, Nermin ; Konjic, Tatjana ; Miranda, Vladimiro

Author_Institution

Center for Distance Educ. Dev., Univ. of Tuzla

fYear

2006

fDate

25-27 Sept. 2006

Firstpage

219

Lastpage

223

Abstract

Neural networks have broad applicability to real power system problems. One of the areas in power system with huge interest in appliance of neural networks is load forecasting. In this paper the neural networks were trained and tested using 15-minute load data collected in Portugal by the electric power company EDP during a 44 day period. The artificial neural networks showed as a good nonlinear approximator, giving promising results. The main objective of the presented work is to interest power companies in the region for possible practical implementations

Keywords

load forecasting; neural nets; nonlinear functions; power systems; artificial neural networks; electric power company EDP; load forecasting; nonlinear approximator; power system problems; short term load diagram prediction; Artificial neural networks; Home appliances; Load forecasting; Neural networks; Power system modeling; Power system planning; Power system reliability; Power systems; Predictive models; Testing; artificial neural networks; load diagram; short term load forecast;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on

Conference_Location

Belgrade, Serbia & Montenegro

Print_ISBN

1-4244-0433-9

Electronic_ISBN

1-4244-0433-9

Type

conf

DOI

10.1109/NEUREL.2006.341217

Filename

4147205