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In power grid, the traditional fossil fuels are facing the problem of depletion and the de-carbonization demands the power system to reduce the carbon emission. The trend of internet revolution and ubiquitous information acquisition devices successfully reduce the cost of data collection, while the huge amount and complex structure challenge the capability of traditional data analytics techniques. The processing and analysis method of these large volume data is a new challenge but opportunity at the beginning of this century with the concept of “big data” (Lv et al., 2017a Günther et al., 2017).Īlthough big data is a newly-appeared term, the concept of discovering valuable information from massive collected data in commercial operation as aiding knowledge for business decision has already been proposed in 1989 by Howard Dresner as “business intelligence” (BI) (Yu, 2002). However, the collected data are mounting at an exponential growth, and the structure of them is also becoming much more complicated. Rational, effective and efficient analysis of these data brings huge value and benefit to our daily life and company activities. For instance, the size of data on the internet is now measured in exabytes (10 18) and zettabytes (10 21) (Emani et al., 2015). With the fast development of digital technology and cloud computing, more and more data are produced through digital equipment and sensors, such as smart phones, computers, advanced measuring infrastructures, etc., as well as through human activities and communications. However, to advance the applications of the big data analytics in real smart grids, many issues such as techniques, awareness, synergies, etc., have to be overcome. By dealing with huge amount of data from electricity network, meteorological information system, geographical information system etc., many benefits can be brought to the existing power system and improve the customer service as well as the social welfare in the era of big data. The advanced applications of different data analytics in smart grids are addressed as the main part of this paper. Basic concepts and the procedures of the typical data analytics for general problems are also discussed. The characterizations of big data, smart grids as well as huge amount of data collection are firstly discussed as a prelude to illustrating the motivation and potential advantages of implementing advanced data analytics in smart grids.
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This paper introduces the big data analytics and corresponding applications in smart grids. Driven by the development of information and communication technology, an information layer is now added to the conventional electricity transmission and distribution network for data collection, storage and analysis with the help of wide installation of smart meters and sensors. Data analytics are now playing a more important role in the modern industrial systems.