Grid Search Optimized Machine Learning based Modeling of CO2 Emissions Prediction from Cars for Sustainable Environment
Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 09
Abstract
Carbon emissions have increased dramatically because of industrialization, trapping heat in the atmosphere and hastening climate change. This is a serious threat to the wealth, security, and well-being of the world. The effects are extensive, ranging from severe weather, disease outbreaks, and economic disruption to food insecurity and water scarcity. The World Health Organization (WHO) has determined that climate change poses the greatest threat to public health in the twenty-first century. Thus, precise CO2 emissions have emerged as a crucial concern in recent times. Several studies have tried to forecast the amount CO2 from industry and power plant using statistical analysis. Efficiency, robustness and diverse application was the limitation of the study. In this study, we have proposed an AI based model that is able to predict the amounts of CO2 emissions from cars. We applied a grid search-optimized machine learning approach using the publicly available Canadian dataset. Incorporation of different statistical analyses and preprocessing techniques such as duplicate data management, outlier rejection, scaling contributed to enhance the quality of the dataset. Later, grid search techniques were applied to tune the KNN, RF, and SVR models. The approach has enhanced the performance of CO2 emissions prediction. In the study, we further used the explainability of the random forest model to check the bias and fairness of predictability. MSE, RMSE, and R-squared metrics of the proposed approach were the highest as the state of the art.
Authors and Affiliations
Sagar Sidana,
Keywords
Related Articles
- EP ID EP745126
- DOI 10.47191/ijcsrr/V7-i9-37
- Views 36
- Downloads 0
Six Sigma Approach to Reduce Revenue Leakage in Revenue Recognition Process: A Case Study
This study investigates business process inefficiency of revenue recognition process at Gajah Logistics, which impact to financial loss. The primary objective of this research is to improve the business process of revenu...
Compliance of Juvenile Justice Administration in Cameroon with the Human Rights Based Approach
Juvenile delinquency is an age long problem, and the problem still occurs till present date. The world at large and Cameroon in particular has promulgated laws which govern the conducts of its citizens so as to keep orde...
Development of Problem-Solving-Oriented Electronic Module (E-Module) to Improve The Critical Thinking Skills of Class XI Senior High School Students on Acid-Base Material
The Independent Curriculum is a solution to the tight competition for human resources in the 21st century. The critical thinking skills needed in the 21st century can be improved through studying chemistry, especially ac...
Impact of Rearing Environment on Chemical Characteristics of Catfish, Khartoum State, Sudan
This study was conducted in Khartoum State; the aim of this study was to evaluate Chemical composition of Catfish (Clarias gariepinus) reared in different environments in Khartoum State. A total of 60 samples of catfish...
Measurement Digital Transformation Capability on Operational Performance (Case Study: Bank BJB)
With the changes in market environments and the development of digital technology, the banking industry urgently needs to develop the capability to adapt to profound changes in strategy and business processes. This study...