An Overview of Deep Learning in Power Production

Qiang Song, Yonghuan Wu, Zhenlan Liu
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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.
电力生产中的深度学习概述
随着全球信息化程度的加深和科技的飞速发展,公众更加关注海量数据的价值,不断探索数据之间的内在联系。研究人员试图用数据服务于经济和人们的生活。电力作为国家基础产业,在经济社会发展中发挥着重要作用。在节能减排政策的背景下,迫切需要挖掘电力的数据价值,提高电力运行的稳定性。本文重点研究了深度学习与电力生产的结合,介绍了目前深度学习的研究进展以及深度学习在电力生产中的应用场景。在此基础上,提出了今后的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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