FORECASTING ELECTRICITY DEMAND IN IRAN: THE APPLICATION OF A HYBRID DYNAMIC PARTIAL ADJUSTMENT AND ARIMA MODEL

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.

ROSTAMI M.; KHADEMVATANI A.; OMIDALI M.

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

Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN Year:2018 | Volume:7 | Issue:25 Page(s): 177-199

Download Full-Text

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

Persian Verion

View:

880

Download:

320

Cites:

Information Journal Paper

Title

FORECASTING ELECTRICITY DEMAND IN IRAN: THE APPLICATION OF A HYBRID DYNAMIC PARTIAL ADJUSTMENT AND ARIMA MODEL

Author(s)

ROSTAMI M. | KHADEMVATANI A. | OMIDALI M. | Issue Writer Certificate

Keywords

FORECASTINGQ2

IRANIAN ELECTRICITY DEMANDQ1

HYBRID MODELQ2

DYNAMIC PARTIAL ADJUSTMENTQ1

ARIMAQ2

Abstract

Goal: Electricity consumption in Iran was reached to historical level of 255, 724 million kwh in 2017 which shows 7.7 percent increase compared to the year 2016. Considering the dramatic increase in electrity use mainly due to population growth, urbanization, economic and industrial development, providing a better picture of the future electricity demand for policy makers seems necessary. In addition, specification of the most important variables and their effects on the electricity demand would help policy makers to decide which policy instrument, such as price or non price policies, to choose in order to manage electricity demand...

Cites

No record.

References

No record.

Cite

APA: Copy

ROSTAMI, M., KHADEMVATANI, A., & OMIDALI, M.. (2018). FORECASTING ELECTRICITY DEMAND IN IRAN: THE APPLICATION OF A HYBRID DYNAMIC PARTIAL ADJUSTMENT AND ARIMA MODEL. JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN, 7(25 ), 177-199. SID. https://sid.ir/paper/226577/en

Vancouver: Copy

ROSTAMI M., KHADEMVATANI A., OMIDALI M.. FORECASTING ELECTRICITY DEMAND IN IRAN: THE APPLICATION OF A HYBRID DYNAMIC PARTIAL ADJUSTMENT AND ARIMA MODEL. JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN[Internet]. 2018;7(25 ):177-199. Available from: https://sid.ir/paper/226577/en

IEEE: Copy

M. ROSTAMI, A. KHADEMVATANI, and M. OMIDALI, “FORECASTING ELECTRICITY DEMAND IN IRAN: THE APPLICATION OF A HYBRID DYNAMIC PARTIAL ADJUSTMENT AND ARIMA MODEL,” JOURNAL OF APPLIED ECONOMICS STUDIES IN IRAN, vol. 7, no. 25 , pp. 177–199, 2018, [Online]. Available: https://sid.ir/paper/226577/en

Related Journal Papers