Applications of artificial intelligence in renewable energy systems

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Hu, Weihao and Wu, Qiuwei and Anvari-Moghaddam, Amjad and Zhao, Junbo and Xu, Xiao and Abulanwar, Sayed Mohamed and Cao, Di (2022) Applications of artificial intelligence in renewable energy systems. IET Renewable Power Generation, 16 (7). pp. 1279-1282. ISSN 1752-1416 (https://doi.org/10.1049/rpg2.12479)

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Abstract

Owing to the strong uncertainty and fluctuation of renewable energy generations, renewable energy systems are becoming more sophisticated. Traditional model-based methods will be difficult to address the analysis, scheduling and control problems of future renewable energy systems. In recent years, with the development of smart grid, more and more data are collected by the power system operators through smart metering and advanced sensing devices. It motivates the utilization of artificial intelligence (AI) methods, which can directly learn useful information from massive data to deal with the complex non-linear problems without assumptions and simplifications. In line of with this trend, this special issue aims to present state-of-the-art studies on application of AI in renewable energy systems. There are in total 17 papers accepted for this special issue after carefull peer-to-peer reviews. The special issue can be divided into three general topics, the summary of which is given as follows.

ORCID iDs

Hu, Weihao, Wu, Qiuwei, Anvari-Moghaddam, Amjad, Zhao, Junbo, Xu, Xiao, Abulanwar, Sayed Mohamed ORCID logoORCID: https://orcid.org/0000-0002-3396-4020 and Cao, Di;
CORE (COnnecting REpositories)