Application of data science for controlling energy crises: A case study of Pakistan

Publication Type:
Conference Proceeding
Citation:
ACM International Conference Proceeding Series, 2019, Part F147956 pp. 60 - 64
Issue Date:
2019-01-01
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ICSCA2019_accepted manuscript.pdfAccepted Manuscript Version648.18 kB
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© 2019 Association for Computing Machinery. Today Pakistan is facing numerous challenges for the interconnection of local energy resources and for balanced energy policies. Data Science, Big Data, Artificial Intelligence (AI), IoT and Cloud computing draws our focus towards controlling energy crises in terms of smart energy generation, consumption and to overcome causes of energy crises. To make a conclusion valuable we have to extract significant value from a large amount of data that‟s why data management plays a significant role. This Paper presents a review of energy sectors, energy resources, energy crises in Pakistan. It also presents the possible solution of energy crises with the help of data science application and the involvement of Big Data, Cloud computing, IoT and AI.
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