Novel Crisp Cascading Methodology to Predict Coal and Natural Gas Demand

摘要

The research work presents the forecasting prices of Natural Gas and coal for the future requirements in India. The theme of the work is to predict and forecast the demand for the natural resources. The methodologies applied were Linear Regression, Multiple Regression and Correlation. The result is to find the correlation between Coal and Natural gas using depended and the independent variables. Linear and the Multiple regressions were employed to know the relations between depended and more than one independent variables. .The work concludes the performance of each model that is to be evaluated by applying Mean Absolute Percentage Error (MAPE).