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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Impact factor: 8.15

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Paper Title: Stochastic Time Series Modeling for Coking Coal Production in India
Authors Name: Dr. T. Jai Sankar , Ms. I. Angel Agnes Mary , Ms. K. Nalini
Unique Id: IJSDR2210077
Published In: Volume 7 Issue 10, October-2022
Abstract: This paper deals with thestochastic time series modelling for Coking Coal (Metallurgical and Non-Metallurgical) production in India during the years from 1981 to 2021. Coking Coal is an essential input for production of Iron and Steel. The largest single use of Coal in the Steel Industry is as a fuel for the blast furnace and for the production of Coal for reduction of iron ore or for injection with the hot blast. This study considers Autoregressive (AR), Moving Average (MA) and ARIMA processes to select the appropriate ARIMA model for Coking Coal production in India. ARIMA (p, d, q) and its components autocorrelation function (ACF), partial autocorrelation function (PACF), root mean square error (RMSE), mean absolute percentage error (MAPE), normalized BIC and ARIMA (1,2,2). Based on the selected model, Coking Coal production in India is projected to decline from 44.79 million tonnes in 2022 to 32.6 million tonnes in 2031.
Keywords: ARIMA, BIC, Forecasting, MAPE, Coal Production, RMSE
Cite Article: "Stochastic Time Series Modeling for Coking Coal Production in India", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 10, page no.443 - 449, October-2022, Available :http://www.ijsdr.org/papers/IJSDR2210077.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2210077
Registration ID:201990
Published In: Volume 7 Issue 10, October-2022
DOI (Digital Object Identifier):
Page No: 443 - 449
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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