Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption

Natural Resources is a limited resource and its optimal usage is at most priority now a day as we are approaching towards the run-out situation for these natural resources. As we aware the forecasting is a major factor for the natural resource usage optimization and the oversupply or over usage is a...

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Main Authors: Prabodh Kumar Pradhan, Sunil Kumar Dhal, Nilayam Kumar Kamila
Format: Article
Language:English
Published: Srusti Academy of Management 2017-12-01
Series:Srusti Management Review
Subjects:
Online Access:http://www.srustimanagementreview.ac.in/paperfile/1321920525_Time%20Series%20Moving%20Average,%20Smoothing%20Analysis,%20Forecasting.pdf
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author Prabodh Kumar Pradhan
Sunil Kumar Dhal
Nilayam Kumar Kamila
author_facet Prabodh Kumar Pradhan
Sunil Kumar Dhal
Nilayam Kumar Kamila
author_sort Prabodh Kumar Pradhan
collection DOAJ
description Natural Resources is a limited resource and its optimal usage is at most priority now a day as we are approaching towards the run-out situation for these natural resources. As we aware the forecasting is a major factor for the natural resource usage optimization and the oversupply or over usage is a major concern for its optimized usage. We analyses the forecasting models based on time series and compare the results with actual demand to trace the result difference between the actual and forecasted results. The evaluation method and the graphical interpretation shows a clear impression about the natural gas forecasting and would be considered as a true awareness of the existing forecasting models
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spelling doaj.art-dd5aab06c34e48bbab4772172c4794722022-12-21T23:25:18ZengSrusti Academy of ManagementSrusti Management Review0974-42742582-11482017-12-01XII4856Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas ConsumptionPrabodh Kumar Pradhan0Sunil Kumar Dhal1Nilayam Kumar Kamila2Assistant Professor, Regional College of Management, BhubaneswarAssociate Professor, Sri Sri University, CuttackPrincipal Associate, Capital One, Wilmington, USANatural Resources is a limited resource and its optimal usage is at most priority now a day as we are approaching towards the run-out situation for these natural resources. As we aware the forecasting is a major factor for the natural resource usage optimization and the oversupply or over usage is a major concern for its optimized usage. We analyses the forecasting models based on time series and compare the results with actual demand to trace the result difference between the actual and forecasted results. The evaluation method and the graphical interpretation shows a clear impression about the natural gas forecasting and would be considered as a true awareness of the existing forecasting modelshttp://www.srustimanagementreview.ac.in/paperfile/1321920525_Time%20Series%20Moving%20Average,%20Smoothing%20Analysis,%20Forecasting.pdfnatural gaslpg consumptiontime seriesnatural gas forecasting
spellingShingle Prabodh Kumar Pradhan
Sunil Kumar Dhal
Nilayam Kumar Kamila
Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
Srusti Management Review
natural gas
lpg consumption
time series
natural gas forecasting
title Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
title_full Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
title_fullStr Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
title_full_unstemmed Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
title_short Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
title_sort time series moving average smoothing analysis forecasting analysis and evaluation for natural gas consumption
topic natural gas
lpg consumption
time series
natural gas forecasting
url http://www.srustimanagementreview.ac.in/paperfile/1321920525_Time%20Series%20Moving%20Average,%20Smoothing%20Analysis,%20Forecasting.pdf
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AT nilayamkumarkamila timeseriesmovingaveragesmoothinganalysisforecastinganalysisandevaluationfornaturalgasconsumption