Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics

Ashis Pattanaik, Vandana Sharma, Kanhaiya Kunj, Sushruta Mishra, Celestine Iwendi and Jude Osamor 2023. Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics. 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM). Dubai, United Arab Emirates 12 - 13 Dec 2023 IEEE . https://doi.org/10.1109/iccakm58659.2023.10449578

TitleSustainable Climatic Metrics Determination with Ensemble Predictive Analytics
AuthorsAshis Pattanaik, Vandana Sharma, Kanhaiya Kunj, Sushruta Mishra, Celestine Iwendi and Jude Osamor
TypeConference paper
Abstract

Sustainable features are dependent on vital climatic elements that has a prominent impact on the retention of sustainability provided its metrics are in desired domain. Regression analysis and ensemble learning models are some of the predictive analytics methods which were used to detect the association of every feature on sustainable criteria. Weather samples from Delhi during 1970–2020 is used in the research which considers features like humidity, pollutant level, temperature etc which are gathered from several authenticated sites like pollution management unit of India. After analyzing several elements affecting weather endurability, it is noticed that pollutant level and temperature exhibit the highest significance recording 30% and 44% respectively. Also the R-square metric of 86% and 82% was observed with implementation of analytics models. The major conclusion recorded that random forest outperformed regression model and it established the importance of predictive analytics in predicting sustainability results. The research validated the relevance of climatic tracking for regulating sustainability.

Year2023
Conference2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
PublisherIEEE
Accepted author manuscript
File Access Level
Open (open metadata and files)
Publication dates
Published12 Dec 2023
Published online05 Mar 2024
Journal2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM)
ISBN9798350393248
Digital Object Identifier (DOI)https://doi.org/10.1109/iccakm58659.2023.10449578
Web address (URL)http://dx.doi.org/10.1109/iccakm58659.2023.10449578

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