Analysis of AMI, Smart Metering Deployment and Big Data Management Challenges

被引:2
|
作者
Saleh, Mohammed [1 ]
Khdour, Thair [2 ]
Qasaymeh, Mahmoud [3 ]
机构
[1] Higher Coll Technol, Dubai, U Arab Emirates
[2] AlBalqa Appl Univ, Comp Informat Syst Dept, Salt, Jordan
[3] Tafila Tech Univ, Elect Engn Dept, Tafila, Jordan
来源
3RD INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS (BDIOT 2019) | 2018年
关键词
AMI; Digital Utility; Smart Grid;
D O I
10.1145/3361758.3361759
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Sustainability, rise of consumer power, IOT, Cloud Computing and digitalization era are major factors driving the fourth industrial revolution. Electric energy stakeholders are automating technological and business processes to the new requirements of the energy sector. Deploying the right combination of AI, Advanced Metering Infrastructure and Big Data Analysis, will increase efficiency and self-optimize operations. The emerging markets including the Middle East will deploy nearly 250 million meters, representing an investment of almost $35bn. The GCC increasing appetite power generating capacity is 157 GW; which is almost half the total Middle East and North Africa power generating capacity Smart Grid market in Gulf Council Countries will top US$ 1.68 billion by 2026. In addition, GCC is projected to spend US$137 Billion to increase its power generating capacity, Transmission and Distribution by 69 MW within five years. This research focus on the analysis of AMI and smart metering deployment and challenges in GCC region.
引用
收藏
页码:3 / 7
页数:5
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