Analysis of effective variables on daily electrical load curves of Iran power network

Author

Farhadi, Mahdi ; Tafreshi, S. M Moghaddas

Author_Institution

Power Eng. Dept., Univ. of Birjand, Birjand

fYear

2008

fDate

21-24 April 2008

Firstpage

1

Lastpage

7

Abstract

In the presented paper by analyzing the curve of the daily electrical network load in Iran over a 10 year period; the effective factors on the daily electricity consumption (including time, environmental and special factors) are studied. Additionally , using the final results from this graphical analysis, a suitable method to train artificial neural networks for short-term forecasting of the time of Iranpsilas electrical network consumption have been presented.

Keywords

learning (artificial intelligence); load forecasting; power consumption; power engineering computing; Iran electrical network consumption; Iran power network; artificial neural networks; electrical load curves; electrical network load; electricity consumption; graphical analysis; load forecasting; Artificial neural networks; Calendars; Economic forecasting; Energy consumption; Load forecasting; Power engineering and energy; Power system modeling; Power system reliability; Predictive models; Weather forecasting; load forecasting; neural networks; similar day;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 2008. ICIT 2008. IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1705-6

Electronic_ISBN

978-1-4244-1706-3

Type

conf

DOI

10.1109/ICIT.2008.4608591

Filename

4608591