ELECTRICITY DEMAND ANALYSIS IN IRAN BY USING COINTEGRATION AND ARIMA MODELING (1363-1388)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SAMADI SAEID; SHAHIDI AMENEH; MOHAMMADI FARZANEH

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: KNOWLEDGE AND DEVELOPMENT Year:2009 | Volume:15 | Issue:25 Page(s): 113-136

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

1,672

Download:

Cites:

Information Journal Paper

Title

ELECTRICITY DEMAND ANALYSIS IN IRAN BY USING COINTEGRATION AND ARIMA MODELING (1363-1388)

Author(s)

SAMADI SAEID | SHAHIDI AMENEH | MOHAMMADI FARZANEH | Issue Writer Certificate

Keywords

IRAN ELECTRICITY DEMANDQ3

FORECASTQ2

COINTEGRATIONQ3

ARIMA MODELINGQ3

Abstract

Electricity industry is older than 100 years in the world and every nation has selected a kind of system depends on interference of government or private sector in electricity industry. But today, generally, in all over the world, electricity industry is moving towards competitive markets and process of reforming structure. Electricity industry in Iran is passing a new structure from natural monopoly structure to competitive markets in which producers compete for selling energy. In this sitvation, study about the situation of economical industry of electricity in Iran is too important. Using COINTEGRATION analysis and autoregressive integrated moving average (ARIMA) modeling; the present article focuses on this issue by both providing electricity demand estimation and FORECAST for electricity demand in Iran. The study concludes that consumers' respond to price and income changes is quite limited and therefore there is a need for economic regulation in Iran electricity market. Furthermore, FORECASTing future demand indicate that per capita demand of electricity increases with annual growth rate of 4/4 percent and this shows that growth rate of electricity consumption in Iran is very high.

Cites

References

No record.

Cite

APA: Copy

SAMADI, SAEID, SHAHIDI, AMENEH, & MOHAMMADI, FARZANEH. (2009). ELECTRICITY DEMAND ANALYSIS IN IRAN BY USING COINTEGRATION AND ARIMA MODELING (1363-1388). KNOWLEDGE AND DEVELOPMENT, 15(25), 113-136. SID. https://sid.ir/paper/75821/en

Vancouver: Copy

SAMADI SAEID, SHAHIDI AMENEH, MOHAMMADI FARZANEH. ELECTRICITY DEMAND ANALYSIS IN IRAN BY USING COINTEGRATION AND ARIMA MODELING (1363-1388). KNOWLEDGE AND DEVELOPMENT[Internet]. 2009;15(25):113-136. Available from: https://sid.ir/paper/75821/en

IEEE: Copy

SAEID SAMADI, AMENEH SHAHIDI, and FARZANEH MOHAMMADI, “ELECTRICITY DEMAND ANALYSIS IN IRAN BY USING COINTEGRATION AND ARIMA MODELING (1363-1388),” KNOWLEDGE AND DEVELOPMENT, vol. 15, no. 25, pp. 113–136, 2009, [Online]. Available: https://sid.ir/paper/75821/en

Related Journal Papers