TY - GEN
T1 - Application of data science for controlling energy crises
T2 - 8th International Conference on Software and Computer Applications, ICSCA 2019
AU - Ullah, Saif
AU - Asif, Muhammad
AU - Ahmad, Shahbaz
AU - Imdad, Ulfat
AU - Sohaib, Osama
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Big data
KW - Cloud computing
KW - Data science
KW - Energy crisis
KW - Energy resources
KW - Energy sector
UR - https://www.scopus.com/pages/publications/85066053410
UR - https://www.scopus.com/pages/publications/85066053410#tab=citedBy
U2 - 10.1145/3316615.3316616
DO - 10.1145/3316615.3316616
M3 - Conference contribution
AN - SCOPUS:85066053410
SN - 9781450365734
T3 - ACM International Conference Proceeding Series
SP - 60
EP - 64
BT - ACM International Conference Proceeding Series
PB - Association for Computing Machinery
Y2 - 19 February 2019 through 21 February 2019
ER -