[能源与动力工程] 人工智能在电力系统中应用的近期研究热点介绍

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人工智能在电力系统中应用的近期研究热点介绍
摘要:大数据驱动下的新一代人工智能由传统知识表示转向深度、自主知识学习,不再需要人的过多干预,展现出了更加智能的一面。近年来,深度学习成为人工智能研究热点。该文重点介绍了深度学习的特点、原理及其在电力系统中的应用研究现状,分析了新一代智能方法研究趋势及在应用过程中存在的问题,并提供了基于分布式机器学习和增量学习的解决方法,旨在为相关研究工作者提供参考。

Abstract:The new generation of artificial intelligence driven by big data has shifted from traditional knowledge representation to deep and autonomous learning. It no longer requires too much human intervention and shows a smarter side. In recent years, deep learning (DL) has become the hotspot of artificial intelligence. This paper focuses on the characteristics, principles and the current application status of DL in the power system. It also analyzes the research trends and problems in the application process of the new generation artificial intelligence, and provides solutions based on distributed machine learning and incremental learning methods. This paper is written for providing references for researchers involved in the field.

标题:人工智能在电力系统中应用的近期研究热点介绍
title:Recent Research Hotspot Introduction on the Application of Artificial Intelligence in Power System

作者:朱永利,石鑫,王刘旺
authors:Yongli ZHU,Xin SHI,Liuwang WANG

关键词:电力系统,人工智能,深度学习,大数据,
keywords:power system,artificial intelligence,deep learning,big data,

发表日期:2018-06-30
文件大小:
283.73 KB
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