Abstract
Traditional Power Grid is transformed to Smart Grid by utilizing the technological advancements of Information and Communication Technology. In Smart Grid data is flowing between different components of the system. Advanced and online analytic on this massive data is required to trigger instantaneous action for grid operation and management. Traditional Big Data handling techniques store and analyze high volume data with variety, but failed to handle high velocity data. Stream computing can analyze high velocity data with variety which is essentially required in online data analytics. This paper compared different Big Data analysis techniques and reveals the importance of stream computing and its opportunities in Smart Grid data analytics.
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