Prediction of the Calorific Value of Coal Deposit Using Linear Regression Analysis

Abstract

Coal quality has prime importance in the production of energy, and thus determining the quality is useful in planning of coal deposit. The prediction of coal quality, especially calorific value, is one of the important parameters. The estimation of calorific value is a complicated problem in coal deposits. In this study, the prediction of calorific value was investigated using linear regression analysis, including simple linear regression analysis and multiple linear regression analysis, and prediction models were developed. Afterward, the developed models were verified with statistical tests. It was concluded that calorific values can reliably be estimated using a multiple linear regression model. The model has practical and economical advantages for mining planning.