Mojtaba Yousefi
Field of work
Dr. Mojtaba Yousefi (Member, IEEE) is an associate professor 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. He had been a post-doc for two years in the same project at HVL as well as 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.
MAS130 Basic electricity and automation
Smart Energy Systems
Machine Learning
Control Theory and Optimization
Time Series Analysis
Collaborative Intelligent Infrastructure Lab (Joint with FSU, USA)
Data Science Group, HVL
Publications
-
Exploring the application of machine-learning techniques in the next generation of long-term hydropower-thermal scheduling
-
Short-term inflow forecasting in a dam-regulated river in Southwest Norway using causal variational mode decomposition
-
Self-organizing maps for scenario reduction in long-term hydropower scheduling
-
Day-ahead inflow forecasting using causal empirical decomposition
-
Inflow Forecasting Based On Principal Component Analysis and Long Short Term Memory
-
Inflow Forecasting Based on Principal Component Analysis and Long Short Term Memory