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Information Journal Paper

Title

Forecasting the Price of Natural Gas Using Developed Methods Based on Grays and Fractals

Pages

  15-24

Abstract

 The importance of predicting the price of energy carriers for the development of the economy and industry today is not overlooked. Meanwhile, predicting Natural gas prices as one of the most important carriers of energy and an important role in providing clean energy can be considered as an important tool in industrial development decision making. In this paper, we have investigated the nonlinear behavior of Natural gas prices in a multi-year period, as well we have introduced methods for the development and synthesis of Fractalization (FDGM) has been used to predict the price of Natural gas. The results of the price forecast based on the introduced methods, Indicates the effectiveness of these methods. At the same time, given the Fractal nature of the price of Natural gas in the period under review, the results show that the forecast error using the FDGM method is always below 7%. And very good results were obtained using combination fractional and fractional methods.

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    APA: Copy

    Emami koupaee, Saeed, ZAMANI, SHIVA, Heidarzadeh Hanzaee, Alireza, & SHAHNAZARI, MOHAMMAD REZA. (2020). Forecasting the Price of Natural Gas Using Developed Methods Based on Grays and Fractals. FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES), 13(46 ), 15-24. SID. https://sid.ir/paper/950431/en

    Vancouver: Copy

    Emami koupaee Saeed, ZAMANI SHIVA, Heidarzadeh Hanzaee Alireza, SHAHNAZARI MOHAMMAD REZA. Forecasting the Price of Natural Gas Using Developed Methods Based on Grays and Fractals. FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES)[Internet]. 2020;13(46 ):15-24. Available from: https://sid.ir/paper/950431/en

    IEEE: Copy

    Saeed Emami koupaee, SHIVA ZAMANI, Alireza Heidarzadeh Hanzaee, and MOHAMMAD REZA SHAHNAZARI, “Forecasting the Price of Natural Gas Using Developed Methods Based on Grays and Fractals,” FINANCIAL KNOWLEDGE OF SECURITY ANALYSIS (FINANCIAL STUDIES), vol. 13, no. 46 , pp. 15–24, 2020, [Online]. Available: https://sid.ir/paper/950431/en

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