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A case study of Sri Lanka oil price fluctuations and its influencing factors using predictive analytics

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dc.contributor.authorKandawala, D. S. A
dc.contributor.authorRamanayake, R. T
dc.contributor.authorBogahawatte, K. G. L
dc.contributor.authorMansoor, M. A. M
dc.contributor.authorWanniarachchi, D. M
dc.contributor.authorAsanka, P. P. G. D
dc.date.accessioned2022-05-18T06:52:53Z
dc.date.available2022-05-18T06:52:53Z
dc.date.issued2016-12-19
dc.description.abstractOil is one of the most crucial commodity and energy resource that guarantee the evolution of the economy and industry of a country. The price fluctuation of the oil would be the emerging factor to be concerned and discussed generally in political and economic circle in each and every country. In Sri Lanka also the problem would be same when it comes to oil industry and its influencing factors for price fluctuation. This paper provides a comprehensive implementation of data warehousing process for the petroleum industry data set. Based on the data collection, a broad data analysis has been conducted to discover patterns of oil prices and sales variation with respect to the political and economic impact factors of Sri Lanka. Through the analysis, it has proven that the influencing factors would affect to the oil prices and sales accordingly. Furthermore, this aims to present few predictions based on the analysis.en_US
dc.identifier.citationD. S. A. Kandawala, M. A. M. Mansoor, R. T. Ramanayake, D. M. Wanniarachchi, K. G. L. Bogahawatte and P. P. G. D. Asanka, "A case study of Sri Lanka oil price fluctuations and its influencing factors using predictive analytics," 2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS), 2016, pp. 1-6, doi: 10.1109/ICIAFS.2016.7946518.en_US
dc.identifier.doi10.1109/ICIAFS.2016.7946518en_US
dc.identifier.issn2151-1810
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2376
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesInformation and Automation for Sustainability (ICIAfS), 2016 IEEE International Conference;
dc.subjectcase studyen_US
dc.subjectSri Lankaen_US
dc.subjectoil priceen_US
dc.subjectfluctuationsen_US
dc.subjectinfluencing factorsen_US
dc.subjectpredictive analyticsen_US
dc.titleA case study of Sri Lanka oil price fluctuations and its influencing factors using predictive analyticsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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Research Papers - Department of Electrical and Electronic Engineering