Role of Energy use in the Prediction of CO2 Emissions and Growth in India: An Application of Artificial Neural Networks (ANN)

Ashin Nishan M K and Muhammed V Ashiq

No gkpbu, SocArXiv from Center for Open Science

Abstract: The correspondence among energy use, carbon dioxide emissions and growth is a matter of discussion among policymakers, economists and researchers. It is not possible to deny that the concept of sustainable development inspires them for the enquiry into this arena. The primary aspiration of this work is to develop and use the machine learning technique in the prediction of carbon dioxide emissions and growth by taking energy use as the inputs variables. Our findings suggest that the prediction accuracy of the CO2 and growth can improve by using machine learning techniques. In this case, prediction using Adam optimisation is better than Stochastic Gradient Descent (SGD) in the context of carbon dioxide emissions and growth. Further, result highlights that movement from fossil fuel use to renewable energy use is a possible way to reduce carbon dioxide emissions without sacrificing economic growth.

Date: 2019-12-08
New Economics Papers: this item is included in nep-big, nep-cmp, nep-ene and nep-env
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:gkpbu

DOI: 10.31219/osf.io/gkpbu

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