数据科学在能源危机控制中的应用:以巴基斯坦为例

S. Ullah, M. Asif, Shahbaz Ahmad, Ulfat Imdad, O. Sohaib
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引用次数: 1

摘要

今天,巴基斯坦在当地能源资源的相互联系和平衡的能源政策方面面临着许多挑战。数据科学、大数据、人工智能、物联网和云计算将我们的重点放在智能能源生产和消费方面,以控制能源危机,并克服能源危机的原因。为了使结论有价值,我们必须从大量的数据中提取有意义的价值,这就是为什么数据管理起着重要的作用。本文对巴基斯坦的能源部门、能源资源、能源危机进行了综述。展示了数据科学应用以及大数据、云计算、物联网和人工智能的参与下解决能源危机的可能方案。
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Application of Data Science for Controlling Energy Crises: A Case Study of Pakistan
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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