Title :
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
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;
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
DOI :
10.1109/ICIT.2008.4608591
