A Review on Forecasting Models of Natural Gas
DOI:
https://doi.org//10.32628/IJSRST218375Keywords:
Natural gas, Artificial Neural Networks, Time Series, Statistical ModelsAbstract
This work gives away a survey of different published papers related to forecasting techniques in natural gas demand and consumption. Demand forecasting plays an important role in the company's decision making and inventory management process. It is important for local natural gas distributors to accurately predict the natural gas needs of their customers. While classifying the recent natural gas demand forecasting techniques, we have taken into account their methodologies, approach, data size, performance, results and limitations. Aim of this survey paper is to present a classified study of liquefied petroleum gas and natural gas related assets forecasting algorithms. This study provides readers with an understanding of the recent research in the natural gas supply-demand forecasting techniques.
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