基于Hadoop的能源行业分布式数据管理

M. Vaidya, Shrinivas P. Deshpande
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引用次数: 5

摘要

有效利用能量是一小时的需要。提高能源效率需要了解使用模式和实践。这次停电是对该国基础设施现代化的警钟,因为电网崩溃了。当开始分析行业估计时,我知道印度近30%的电力浪费在输电和配电上,主要是因为泄漏和盗窃。有一些机制已经被使用,比如传统的配电系统,SCADA等。但智能电表技术正在发展,几年后将在印度各地实施。这是一项审查,通过使用Hadoop MapReduce分析瞬间停电数据和电力盗窃,对一些此类技术的客户配电进行负载分析,以避免持续停电。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed data management in energy sector using Hadoop
Eefficient use of energy is the need of an hour. Improving energy efficiency requires understanding of the usage patterns and practices. The outage is a wakeup call to modernize the infrastructure in the country to the collapse of the grids that knocked out power. When started analyzing on industry estimates, came to know that nearly 30 percent of the power generated in India is wasted in transmission and distribution primarily because of leakages and theft. There are certain mechanisms which have been used like legacy power distribution systems, SCADA etc. But Smart Metering technology is the one which is growing and in some years time will be seen implemented all over India. This is a review done to make load analysis of the power distribution to the customers on some such technologies to avoid sustained outages by analyzing momentary outage data and power theft using Hadoop MapReduce.
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