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

Ullah, S; Asif, M; Ahmad, S; Imdad, U; Sohaib, O

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

Ullah, S Asif, M Ahmad, S Imdad, U Sohaib, O

Permalink

Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2019, Part F147956 pp. 60 - 64
Issue Date:: 2019-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted Manuscript VersionAdobe PDF (648.18 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Ullah, S	en_US
dc.contributor.author	Asif, M	en_US
dc.contributor.author	Ahmad, S	en_US
dc.contributor.author	Imdad, U	en_US
dc.contributor.author	Sohaib, O https://orcid.org/0000-0001-9287-5995	en_US
dc.date.available	2021-02-19T18:03:49Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2019, Part F147956 pp. 60 - 64	en_US
dc.identifier.isbn	9781450365734	en_US
dc.identifier.uri	http://hdl.handle.net/10453/133459
dc.description.abstract	© 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.	en_US
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/3316615.3316616	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Application of data science for controlling energy crises: A case study of Pakistan	en_US
dc.type	Conference Proceeding
utslib.citation.volume	Part F147956	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	Part F147956	en_US

Abstract:

© 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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/133459