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作 者:陈熙 CHEN Xi(East China Branch,State Grid Corporation of China,Shanghai 200122,China)
出 处:《电力信息与通信技术》2021年第9期45-50,共6页Electric Power Information and Communication Technology
摘 要:文章旨在探析能源互联网背景下人工智能关键技术在电力通信网中的应用前景。首先对各类机器学习算法原理及主流产业应用平台进行广泛调研,然后结合实际生产场景,分析机器学习在电力通信实际运维工作中的适用性及应用价值,最后对全文进行总结,以机器学习为代表的人工智能技术可应用于电力通信运维工作的全生命周期管控,可为能源互联网和新型电力系统的构建提供典型范例。The purpose of this paper is to analyze the prospect that how the key technologies of artificial intelligence can be applied in the power communication network under the background of energy Internet.First,this paper conducts extensive research of the principle of various kinds of machine learning algorithms,as well as the most popular industry application platform.Then,combined with the actual production,this paper analyzes the adaptability and practical application value of machine learning which can be used in actual operation and maintenance work of power communication network.Finally,this paper gives the summarization.It can be seen that the artificial intelligence represented by machine learning technology is able to play an important role concerning about the whole life cycle control of the power communication network,which will provide typical examples for the construction of the energy Internet and the new type power system.
分 类 号:TN913[电子电信—通信与信息系统]
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