由我校特聘教授李川老师指导的硕士研究生郭圳同学论文“Improved adversarial learning for fault feature generation of wind turbine gearbox”被SCI中科院一区、TOP期刊《Renewable Energy》（最新影响因子8.001）正式录用，热烈祝贺！
附录用邮件全文：
Dear Prof. Li,
I am pleased to inform you that your paper Improved adversarial learning for fault feature generation of wind turbine gearbox has been accepted for publication in Renewable Energy.
Your accepted manuscript will now be transferred to our production department and work will begin on creation of the proof. If we need any additional information to create the proof, we will let you know. If not, you will be contacted again in the next few days with a request to approve the proof and to complete a number of online forms that are required for publication.
Effective peer review is essential to uphold the quality and validity of individual articles, but also the overall integrity of the journal. We would like to remind you that for every article considered for publication, there are usually at least 2 reviews required for each review round, and it is critical that scientists wishing to publish their research also be willing to provide reviews to similarly enable the peer review of papers by other authors. Please accept any review assignment within your expertise area(s) we may address to you and undertake reviewing in the manner in which you would hope your own paper to be reviewed.
Thank you very much for expressing your interest in Renewable Energy.
Sincerely,
Soteris A. Kalogirou, D.Sc.
Editor-in-Chief
Renewable Energy