人工智能在能源互联网中的应用综述

doi:10.3969/j.issn.1000-7229.2019.05.008

摘要/Abstract

摘要： 人工智能技术具有高效解决复杂问题的突出优点。能源互联网是信息技术与能源相结合的产物，可以为消费者提供灵活的能源共享服务。由于可再生能源具有间歇性和波动性，对可再生能源的有效利用对能源供需信息的实时性要求越来越高，能源的供需曲线也变得更加复杂多变，因此人工智能技术在能源互联网中具有广泛的应用前景。人工智能技术已经被广泛地应用于能源互联网领域中的系统建模、预测、控制和优化等方面。文章对人工智能技术在能源互联网典型应用场景的研究现状进行了综述，并对未来的发展方向进行了展望。

关键词: 能源互联网, 人工智能, 深度学习, 神经网络, 机器学习

Abstract: The artificial intelligence technology has outstanding advantages in solving complex problems efficiently. Energy Internet， fusing energy with information technology， can provide consumers with flexible energy sharing services. Due to the intermittence and volatility of power generation by renewable energy， not only effective utilization of renewable energy requires more real-time information of energy supply and demand， but also the mode of energy supply and demand becomes more complex and variable. Recently， artificial intelligence technology has been widely used in system modeling， prediction， control， optimization， and other aspects in the field of energy Internet. This paper makes an overview on the current research outputs of the artificial intelligence technology in typical application scenarios in energy Internet. Besides， the related future development trend is also put forward.

Key words: energy Internet, artificial intelligence, deep learning, neural network, machine learning

中图分类号:

TM 727
TP 18

肖泽青，华昊辰，曹军威. 人工智能在能源互联网中的应用综述[J]. 电力建设, 2019, 40(5): 63-70.

XIAO Zeqing， HUA Haochen， CAO Junwei. Overview of the Application of Artificial Intelligence in Energy Internet[J]. Electric Power Construction, 2019, 40(5): 63-70.

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