Wireless Big Data Computing in Smart Grid

• DOI: 10.1109/mwc.2017.1600256wc
• Publication Date: 2017-04-24T18:09:49Z
• Authors: Kun Wang; Yunqi Wang; Xiaoxuan Hu; Yanfei Sun; Der-Jiunn Deng; Alexey Vinel; Yan Zhang
• Keywords: 9. Industry and infrastructure; 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 7. Clean energy

The development of smart grid brings great improvement in the efficiency, reliability, and economics to power grid. However, at same time, volume complexity data explode. To address this challenge, big technology is a strong candidate for analysis processing data. In article, we propose computing architecture analytics, which involves resources, transmission, storage, analysis. order enable grid, communication then described consisting four main domains. Key technologies big-data-aware wireless are investigated. As case study proposed architecture, introduce big-data- enabled storage planning scheme based on computing. A hybrid approach adopted optimization including GA game theoretic inner daily energy scheduling. Simulation results indicate that greatly reduce