Research Area:

Photovoltaic (PV) Inverters, Universal Converters, Machine Learning-based PV Power Forecasting, and Linear-type Electric Motors Design and Analysis

Research Experience:

Xinmin Zhang received the B.S. degree from Hunan University, Changsha, China, and the M.S. degree from Zhejiang University, Hangzhou, China, in 2011 and 2014, respectively, both in electrical engineering. She is currently working toward the Ph.D. degree in electrical engineering at the Northeastern University, Boston, MA, USA. Her research interests include Photovoltaic (PV) inverters, universal converters, machine learning-based PV power forecasting, and linear-type electric motors design and analysis.