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dc.contributor.authorPei Zhang
dc.contributor.authorYan Xu
dc.contributor.authorFengji Luo
dc.contributor.authorZhao Yang Dong
dc.date.accessioned2019-09-18T10:40:35Z
dc.date.available2019-09-18T10:40:35Z
dc.date.issued2019
dc.identifier.other%28ASCE%29EY.1943-7897.0000604.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260139
dc.description.abstractBig data has emerged as an attractive concept in various industry domains. For power engineering, enormous amounts of data from different devices, different geographical locations of the power grid, and different time scales are collected, which creates the research opportunity for power big data. This paper conducted a comprehensive up-to-date literature review and a preliminary discussion of this emerging research topic. The definition, structure, and characteristics of the power big data were introduced. The technical architecture for power big data analysis was elaborated. Typical state-of-the-art applications of power big data were reviewed and discussed. This paper provided a comprehensive review of this promising topic, and a deep insight to help utility companies transform data into information, information into knowledge, and knowledge into wisdom.
dc.publisherAmerican Society of Civil Engineers
dc.titlePower Big Data: New Assets of Electric Power Utilities
dc.typeJournal Paper
dc.journal.volume145
dc.journal.issue3
dc.journal.titleJournal of Energy Engineering
dc.identifier.doi10.1061/(ASCE)EY.1943-7897.0000604
dc.page04019009
dc.treeJournal of Energy Engineering:;2019:;Volume ( 145 ):;issue: 003
dc.contenttypeFulltext


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