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Wireless Big Data C...
Wireless Big Data Computing in Smart Grid
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- Wang, Kun (författare)
- Nanjing University of Posts and Telecommunications, Nanjing, China
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- Wang, Yunqi (författare)
- Nanjing University of Posts and Telecommunications, Nanjing, China
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- Hu, Xiaoxuan (författare)
- Nanjing University of Posts and Telecommunications, Nanjing, China
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- Sun, Yanfei (författare)
- Nanjing University of Posts and Telecommunications, Nanjing, China
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- Deng, Der-Jiunn (författare)
- National Changhua University of Education, Changhua City, Taiwan
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- Vinel, Alexey, 1983- (författare)
- Högskolan i Halmstad,Centrum för forskning om inbyggda system (CERES)
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- Zhang, Yan (författare)
- University of Oslo, Oslo, Norway & Simula Research Laboratory, Fornebu, Norway
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(creator_code:org_t)
- Piscataway, NJ : IEEE Press, 2017
- 2017
- Engelska.
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Ingår i: IEEE wireless communications. - Piscataway, NJ : IEEE Press. - 1536-1284 .- 1558-0687. ; 24:2, s. 58-64
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- The development of smart grid brings great improvement in the efficiency, reliability, and economics to power grid. However, at the same time, the volume and complexity of data in the grid explode. To address this challenge, big data technology is a strong candidate for the analysis and processing of smart grid data. In this article, we propose a big data computing architecture for smart grid analytics, which involves data resources, transmission, storage, and analysis. In order to enable big data computing in smart grid, a communication architecture is then described consisting of four main domains. Key technologies to enable big-data-aware wireless communication for smart grid are investigated. As a case study of the proposed architecture, we introduce a big-data- enabled storage planning scheme based on wireless big data computing. A hybrid approach is adopted for the optimization including GA for storage planning and a game theoretic inner optimization for daily energy scheduling. Simulation results indicate that the proposed storage planning scheme greatly reduce.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Nyckelord
- Smart grids
- Big Data
- Wireless communication
- Computer architecture
- Distributed databases
- Energy storage
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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