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

Year	2017
Volume/Issue/Review Month	Volume - X \| Issue - II \| July - December
Title	Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
Authors	Prabodh Kumar Pradhan , Sunil Kumar Dhal , Nilayam Kumar Kamila
Broad area	Time Series Moving Average, Smoothing Analysis, Forecasting Analysis and Evaluation for Natural Gas Consumption
Abstract	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.
Description	Natural Gas include Petroleum gas e.g.LPG (Liquified Petroleum Gas) which available in market in two types e.g. domestic LPG and commercial LPG. Domestic LPG has the higher usage than commercial LPG [1]. This LPG is extracted in various complex process [2
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Referenceses	Hongwei Ma., YongheWu ,”Grey Predictive on Natural Gas Consumption and Production in China in Web Mining and Web-based Application”, 2009 second Pacific-Asia Conference on Web Mining and Web-based Application”,Wuhan, 2009, pp. 91-94. Prabodh Pradhan, sunil dhal,” A survey of different prediction models & role of artificial neural networks for Natural gas consumption”, International journal of science and research, volume- 4, issue- 11, pp. 1325-1328. prabodh Pradhan, bhagirathinayak, sunil dhal,” Time series data modeling and prediction of liquid petroleum gas”,” International journal of development and research”, volume-6, issue-10, pp. 9809-9812. prabodh Pradhan, bhagirathinayak, sunil dhal,” Time series data prediction of natural gas consumption using arima model”, International journal of information technology and management information system”, volume-7, issue-3, pp. 01-07. prabodh Pradhan, bhagirathinayak, sunil dhal,” Prediction of liquid petroleum gas for domestic consumption”, “ International journal of business, management and allied sciences, volume-4, issue- 3, pp. 4320-4325. https://www.eia.gov/energyexplained/index.cfm. Andrea Gilardoni, “Demand for Natural Gas: Trends and Drivers”,” The World Market for Natural Gas”, 2009-Springer Berlin Heidelberg, pp. 39-60. http://www.weatherbase.com/weather/countryall.php3. Ronald H. Brown, Steven R. Vitullo, George F. Corliss, “Detrending daily natural gas consumption series to improve short-term forecasts”,” Power & Energy Society General Meeting”, 2015 IEEE Power & Energy Society General Meeting, pp. 01-05. https://www.numbeo.com/cost-of-living/country_price_rankings?itemId=105. Prabodh Kumar Pradhan, Sunil Dhal, Nilayam Kumar Kamila, “Time Series Least Square Forecasting Analysis and Evaluation for Natural Gas Consumption”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), Volume-5, Issue-11, pp. 91 – 99. Sun Licheng, Hu Ronghua,” Study on the relationship between the energy consumption and economic system of Jiangsu Province base on grey relational analysis in Grey Systems and Intelligent Services”, 2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009), Nanjing, 2009, pp. 165-169. https://en.wikipedia.org/wiki/List_of_countries_by_natural_gas_consumption. http://ahnutritiontherapy.com/338/foods-to-fight-humidity. https://www.epa.gov/climate-impacts/climate-impacts-agriculture-and-food-supply.