FORECASTING ENERGY PRICE AND CONSUMPTION FOR IRANIAN INDUSTRIAL SECTORS USING ANN AND ANFIS

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.

MIRSOLTAN SEYYEDEH MERCEDEH; AKHAVAN NIAKI SEYED TAGHI

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ECONOMIC STUDIES Year:2013 | Volume:2 | Issue:1 Page(s): 73-102

Download Full-Text

View:

285

Download:

171

Cites:

Information Journal Paper

Title

FORECASTING ENERGY PRICE AND CONSUMPTION FOR IRANIAN INDUSTRIAL SECTORS USING ANN AND ANFIS

Author(s)

MIRSOLTAN SEYYEDEH MERCEDEH | AKHAVAN NIAKI SEYED TAGHI | Issue Writer Certificate

Keywords

FORECASTING

ARTIFICIAL NEURAL NETWORKS

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

ENERGY PRICE

ENERGY CONSUMPTION

Abstract

FORECASTING ENERGY PRICE and consumption is essential in making effective managerial decisions and plans. While there are many sophisticated mathematical methods developed so far to forecast, some nature-based intelligent algorithms with desired characteristics have been developed recently. The main objective of this research is short term FORECASTING of ENERGY PRICE and consumption in Iranian industrial sector using artificial intelligence including an ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) and an ARTIFICIAL NEURAL NETWORKS (ANN). The dataset contains monthly price and consumption of gas oil, petrol, and liquid petroleum gas in the period between March 1996 and March 2010. Based on dataset, ENERGY PRICE and consumption for 2011 and 2012 are forecasted. The results obtained utilizing the two methods show that while both are appropriate tools to forecast price and consumption, most of the time ANFIS has lower error than ANN in terms of the mean squared error criterion.

Cites

No record.

References

No record.

Cite

APA: Copy

MIRSOLTAN, SEYYEDEH MERCEDEH, & AKHAVAN NIAKI, SEYED TAGHI. (2013). FORECASTING ENERGY PRICE AND CONSUMPTION FOR IRANIAN INDUSTRIAL SECTORS USING ANN AND ANFIS. IRANIAN JOURNAL OF ECONOMIC STUDIES, 2(1), 73-102. SID. https://sid.ir/paper/331271/en

Vancouver: Copy

MIRSOLTAN SEYYEDEH MERCEDEH, AKHAVAN NIAKI SEYED TAGHI. FORECASTING ENERGY PRICE AND CONSUMPTION FOR IRANIAN INDUSTRIAL SECTORS USING ANN AND ANFIS. IRANIAN JOURNAL OF ECONOMIC STUDIES[Internet]. 2013;2(1):73-102. Available from: https://sid.ir/paper/331271/en

IEEE: Copy

SEYYEDEH MERCEDEH MIRSOLTAN, and SEYED TAGHI AKHAVAN NIAKI, “FORECASTING ENERGY PRICE AND CONSUMPTION FOR IRANIAN INDUSTRIAL SECTORS USING ANN AND ANFIS,” IRANIAN JOURNAL OF ECONOMIC STUDIES, vol. 2, no. 1, pp. 73–102, 2013, [Online]. Available: https://sid.ir/paper/331271/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops