{"title":"An Overview of Deep Learning in Power Production","authors":"Qiang Song, Yonghuan Wu, Zhenlan Liu","doi":"10.1145/3386415.3387080","DOIUrl":null,"url":null,"abstract":"With the deepening of global information and rapid development of technology, the public pay more attention to the value of massive data and constantly explore the internal relationship between data. The researchers try to serve economic and people's life with data. As a national basic industry, electric power plays an important role in economic and social development. Under the background of energy conservation and emission reduction policies, we are badly need to mine data value of electric power to improve the stability of electric power operation. This paper focuses on the combination of deep learning with power production, introduces the current research progress of deep learning and the scenario of deep learning in electric power. Based on the findings, this paper has proposed some future research directions.","PeriodicalId":250211,"journal":{"name":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Information Technologies and Electrical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386415.3387080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the deepening of global information and rapid development of technology, the public pay more attention to the value of massive data and constantly explore the internal relationship between data. The researchers try to serve economic and people's life with data. As a national basic industry, electric power plays an important role in economic and social development. Under the background of energy conservation and emission reduction policies, we are badly need to mine data value of electric power to improve the stability of electric power operation. This paper focuses on the combination of deep learning with power production, introduces the current research progress of deep learning and the scenario of deep learning in electric power. Based on the findings, this paper has proposed some future research directions.