Application of Data Science for Controlling Energy Crises: A Case Study of Pakistan

被引：2
作者：
Ullah, Saif [1 ]
Asif, Muhammad [1 ]
Ahmad, Shahbaz [1 ]
Imdad, Ulfat [1 ]
Sohaib, Osama [2 ]
机构：
[1] Natl Text Univ, Dept Comp Sci, Faisalabad, Pakistan
[2] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW, Australia
来源：
2019 8TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2019) | 2019年
关键词：
Energy crisis; energy resources; energy sector; data science; big data; cloud computing; artificial intelligence; PRIVACY;
D O I：
10.1145/3316615.3316616
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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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收藏
页码：60 / 64
页数：5
相关论文
共 25 条
  • [1] Ahmed A, 2009, P 26 INT C MAN IT CO
  • [2] [Anonymous], 2009, NIST definition of cloud computing
  • [3] Assessment of Secure OpenID-Based DAAA Protocol for Avoiding Session Hijacking in Web Applications
    Bilal, Muhammad
    Asif, Muhammad
    Bashir, Abid
    [J]. SECURITY AND COMMUNICATION NETWORKS, 2018,
  • [4] Buyya R., 2010, Cloud Computing principles and paradigms
  • [5] Efthymiou C, 2010, INT CONF SMART GRID, P238, DOI 10.1109/SMARTGRID.2010.5622050
  • [6] The Path of the Smart Grid
    Farhangi, Hassan
    [J]. IEEE POWER & ENERGY MAGAZINE, 2010, 8 (01): : 18 - 28
  • [7] Hydrocarbon Development Institute of Pakistan, 2002, PAK EN YEARB 2001
  • [8] IBM, 2012, CISC VIS NETW IND GL
  • [9] Data clustering: A review
    Jain, AK
    Murty, MN
    Flynn, PJ
    [J]. ACM COMPUTING SURVEYS, 1999, 31 (03) : 264 - 323
  • [10] Modeling and optimization of HVAC energy consumption
    Kusiak, Andrew
    Li, Mingyang
    Tang, Fan
    [J]. APPLIED ENERGY, 2010, 87 (10) : 3092 - 3102
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