Abstract
Abstract: Global warming can be reduced and sustainability can be achieved by reducing greenhouse gases emission. Therefore, it is helpful to know the forecast of CO2 emission in the southern region states. Knowing the comparative analysis might help to change the source of power generation to renewable. The data source is taken from the southern region load dispatch center (SRLDC). Carbon dioxide emission values were estimated using the method proposed by Central Electricity Authority. The random forest regression method has been used to forecast the emission values. The data were divided into training and testing sets for better results. The results showed the increasing nature of CO2 emission from power stations. The model could be used to forecast the emission values either for next month or next week. The accuracy for the model was favorable in the range from 0.80 to 0.92. From comparing the results of the states, it could be noticed which state has used its renewable power stations wisely to reduce greenhouse gases emission.
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