Quantum Computing in Supply Chain Management and the Revolution in Demand Forecasting for Coal Resources

Abstract

The most prevalent and abundant fossil fuel on the planet is coal. It is a worldwide industry that contributes significantly to the world economy. Over 50 countries mine coal for economic purposes, while over 70 countries consume it. Approximately 75% of the 5,800 million tons of coal burned annually worldwide are used to produce power. By 2030, this usage is expected to have almost doubled to meet the demands of expanding energy use and sustainable development. Both China and India have considerable coal deposits and are enormous nations in terms of both people and land area. They make up about 70% of the anticipated rise in global coal usage. Most current studies on India concentrate on energy intensity, renewable energy, and overall energy. This study employed various analytical techniques to close this gap, such as ANOVA, correlation analysis, field comparison, and trend analysis. The analysis of variance (ANOVA) method is used to assess the findings. The results of the obtained regression model imply that regression modeling is a technique for projecting India's coal output.