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

Saif Ullah, Muhammad Asif, Shahbaz Ahmad, Ulfat Imdad, Osama Sohaib

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICSCA 2019
Subtitle of host publication2019 8th International Conference on Software and Computer Applications
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages60-64
Number of pages5
ISBN (Print)9781450365734
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event8th International Conference on Software and Computer Applications (ICSCA 2019) - Penang, Malaysia
Duration: 19 Feb 201921 Feb 2019

Conference

Conference8th International Conference on Software and Computer Applications (ICSCA 2019)
CountryMalaysia
CityPenang
Period19/02/1921/02/19

Keywords

  • Artificial intelligence
  • Big data
  • Cloud computing
  • Data science
  • Energy crisis
  • Energy resources
  • Energy sector

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