Big Data Analytics in Smart Grids
Big data analytics is the process of assessing big data to acquire information such as customer preferences and market trends that enable an organization to make better business decisions. There is more data now due to the rapid development of digital technology, with data on the internet now being measured in exabytes and zettabytes. Howard Dresner proposed the idea of acquiring variable information from immense collected data in commercial operations in 1989. However, he termed it 'business intelligence' (BI). Engineers now have a new vision to perceive the traditional electrical system and make it smart due to the enormous progress of information and communication technology (ICT). The paper discusses the big data analysis concepts and their application in smart grids.
In smart grids, big data is characterized by various features such as volume, which is the huge amount of data generated, making data sets too large for traditional database technology. Distributed systems in different locations connected by networks and brought together by software could, however, be used. Another characteristic of big data in the smart grid is velocity. Velocity is the speed of the generation of new data and the speed of data movement. There are also various data types one can now use, unlike before, when the focus was made on structured data that neatly fits into rational databases. Veracity is another characteristic of big data in the smart grid and is defined as the data's trustworthiness or messiness. With large amounts of big data, the data's accuracy and quality are less trustworthy, challenging the outcome data analysis. The last characteristic is value, which is the ability to get valuable information from the enormous data.
The smart grid is the superabundant source of information that covers data from electricity generation, transmission, distribution, and consumption. The data sources include electrical information from distribution stations, distribution switch stations, electricity meters, and non-electrical informa
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