Field of work

Dr. Mojtaba Yousefi (Member, IEEE) is a Postdoctoral Researcher in the Department of Computer science, Electrical engineering and Mathematical Sciences at the Western Norway University of Applied Sciences (HVL), Norway. Currently,  He is working on the project of digitalization of hydropower system scheduling. He is a member of Collaborative Intelligent Infrastructure Lab (CI2) funded initially in FSU in 2015 under the Direction of Prof. Reza Arghandeh. He had been a Ph.D. student at Aalborg University, Department of Energy Technology, Esbjerg, Denmark. His Ph.D. project "Smart building" is supported by Dansk Energy and the Department of Energy Technology. Dr. Yousefi's research interests include data analysis and decision support for power systems and smart grids, model predictive control,  Optimization, machine learning, and renewable energy systems.

Research areas

Smart Energy Systems

Machine Learning 

Control Theory and Optimization 

Time Series Analysis

Research groups

Publications

  • Day-ahead inflow forecasting using causal empirical decomposition

    Yousefi, Mojtaba, Cheng, Xiaomei, Gazzea, Michele, Wierling, August Hubert, Rajasekharan, Jayaprakash, Helseth, Arild, Farahmand, Hossein, Arghandeh, Reza (2022)
  • Inflow Forecasting Based On Principal Component Analysis and Long Short Term Memory

    Cheng, Xiaomei, Farahmand, Hossein, Yousefi, Mojtaba, Arghandeh, Reza, Wang, Hao (2021)
  • Inflow Forecasting Based on Principal Component Analysis and Long Short Term Memory

    Cheng, Xiaomei, Farahmand, Hossien, Yousefi, Mojtaba, Arghandeh, Reza (2021)