Yaowen Yu

· Personal Information

Associate professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

Gender:Male

Status:Employed

Teacher College:School of Artifical Intelligence and Automation

School/Department:School of Artifical Intelligence and Automation

Education Level:Postgraduate (Doctoral)

Degree:Doctoral Degree in Philosophy

Alma Mater:美国康涅狄格大学(University of Connecticut)

Discipline: Electrical Power System and Automation
Control Theory and Engineering

Honors and Titles:
2018    International Journal of Electrical Power and Energy Systems: Certificate of Outstanding Contribution in Reviewing
2015    One of the Best Conference Papers on Integration of Renewable & Intermittent Resources in the 2015 IEEE Power and Energy Society General Meeting
2013    One of the Best Conference Papers on Integrating Wind, Solar, and Energy Storage in the 2013 IEEE Power and Energy Society General Meeting

· Other Contact Information:

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email:

· Personal Profile

Yaowen Yu is an Associate Professor at School of Artificial Intelligence and Automation, Huazhong University of Science and Technology (HUST), Wuhan, China. His research interests include power system operations and optimization, machine learning and big data in power systems, and grid integration of renewable energy. He received the B.S. degree in automation from HUST in 2011, and the M.S. and...

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· Education Experience

2011.8 ~ 2016.9
 University of Connecticut, Storrs, CT, USA  -  Electrical Engineering  -  Doctoral Degree in Philosophy  -  Postgraduate (Doctoral) 
2011.8 ~ 2014.8
 University of Connecticut, Storrs, CT, USA  -  Electrical Engineering  -  Master's degree  -  Postgraduate (Master's Degree) 
2007.9 ~ 2011.6
 Huazhong University of Science and Technology  -  Automation  -  Bachelor's Degree in Engineering  -  Undergraduate (Bachelor’s degree) 

· Work Experience

2016.9-2019.9
ABB Inc., San Jose, CA, USA  - Senior Application Engineer
2014.5-2014.8
ISO New England, Holyoke, MA, USA  - Intern

· Social Affiliations

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· Research Group

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