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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Power systems big data analytics: An assessment of paradigm shift barriers and prospects
ترجمه فارسی عنوان مقاله:
سیستم های قدرت تجزیه و تحلیل داده های بزرگ: ارزیابی موانع تغییر پارادایم و چشم انداز
منبع:
Sciencedirect - Elsevier - Energy Reports, 4 (2018) 91-100: doi:10:1016/j:egyr:2017:11:002
نویسنده:
Hossein Akhavan-Hejazi a, Hamed Mohsenian-Rad a,b,*
چکیده انگلیسی:
Electric power systems are taking drastic advances in deployment of information and communication
technologies; numerous new measurement devices are installed in forms of advanced metering infras
tructure, distributed energy resources (DER) monitoring systems, high frequency synchronized wide
area awareness systems that with great speed are generating immense volume of energy data. However,
it is still questioned that whether the today’s power system data, the structures and the tools being
developed are indeed aligned with the pillars of the big data science. Further, several requirements and
especial features of power systems and energy big data call for customized methods and platforms. This
paper provides an assessment of the distinguished aspects in big data analytics developments in the
domain of power systems. We perform several taxonomy of the existing and the missing elements in the
structures and methods associated with big data analytics in power systems. We also provide a holistic
outline, classifications, and concise discussions on the technical approaches, research opportunities, and
application areas for energy big data analytics.
Keywords: Energy , Big data analytics , Internet of energy , Smart grid
قیمت: رایگان
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