Towards Edge Computing Based Distributed Data Analytics Framework in Smart Grids
文献类型：会议论文
| 作者 | Song CH(宋纯贺)2,3 ; Li T(李桐)4; Huang, Xu1; Wang ZF(王忠锋)2,3; Zeng P(曾鹏)2,3
|
| 出版日期 | 2019 |
| 会议日期 | July 26-28, 2019 |
| 会议地点 | New York city, NY, United states |
| 页码 | 283-292 |
| 英文摘要 | Edge computing, as an emerging paradigm empower the network edge devices with intelligence, has become a prominent and promising future for Internet of things. Meanwhile, machine learning method, especially deep learning method has experience tremendous success recently in many application scenario. Recently, deep learning method applied in IoT scenario is also explored in many literatures. However, how to combine edge computing and deep learning method to advance the data analytics in smart grids has not been fully studied. To this end, in this paper, we propose ECNN (Edge-deployed Convolution Neural Network) in edge computing assisted smart grids to greatly enhance the ability in data aggregation and analytics. We also discuss how to train such network in edge computing distributively. Experiments shows the advantage of our paradigm. |
| 产权排序 | 1 |
| 会议录 | Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings
 |
| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-24264-0 |
| 源URL | [http://ir.sia.cn/handle/173321/25395]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Song CH(宋纯贺) |
| 作者单位 | 1.Shenyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China 2.Chinese Academy of Sciences, Shenyang Institute of automation, Shenyang 110016, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 4.Liaoning Electric Power Research Institute, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China |
| 推荐引用方式 GB/T 7714 | Song CH,Li T,Huang, Xu,et al. Towards Edge Computing Based Distributed Data Analytics Framework in Smart Grids[C]. 见:. New York city, NY, United states. July 26-28, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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