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上海电力学院学报:2017,33(4):341-345,361
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深度学习在电力领域的研究现状与展望
(1.上海电力学院 计算机科学与技术学院;2.华能湖南清洁能源分公司 苏宝顶风电场)
Status Quo and Prospect of Deep Learning in Electric Power Field
(1.School of Computer Science and Technology, Shanghai University of Electric Power, Shanghai 200090, China;2.Subaoding Wind Farm, HuaNeng Hunan Clear Energy Co., Ltd., Hongjiang 418199, China)
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投稿时间:2017-03-09    
中文摘要: 深度学习技术,近年来已经广受学术界和工业界的关注,已在图像处理及分类,自然语言处理和生物医疗领域中取得卓越成果.对于存在大量高维度数据的电力领域,引入深度学习的理论具有一定的意义.介绍了深度学习的几个经典模型结构、工作原理,以及相关领域的部分研究成果,并围绕深度学习在电力领域中的研究现状展开了论述,指出了存在的不足和未来研究的方向.
中文关键词: 深度学习  人工智能  电力
Abstract:Deep Learning has received considerable attention from academia and industry and has got great result in Imagine Processing,Natural Language Processing and Medical Biology.It is significant to use DL in electric power field,which involves high dimension data.The several typical models in DL are described and some background knowledge about DL is introduced.Also,the main research and application in electric field are summarized.Finally,the some existing problems of DL in electric power filed are expounded,and some prospects of future work are presented.
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曹渝昆,何健伟,鲍自安.深度学习在电力领域的研究现状与展望[J].上海电力学院学报,2017,33(4):341-345,361.
CAO Yukun,HE Jianwei,BAO Zi.Status Quo and Prospect of Deep Learning in Electric Power Field[J].Journal of Shanghai University of Electric Power,2017,33(4):341-345,361.