Machine Learning Applications In Power Systems Professors in Global

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Elsa Feng
Singapore Institute of Technology Singapore
power grid applications
power systems
multi-energy systems
modeling & control energy storage systems
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Vladimir Dvorkin
University of Michigan United States of America
ai integration in power systems
power engineering
machine learning
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Jayashri Ravishankar
University of New South Wales Australia
power system modeling
power system analysis
power system control
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Spyros Chatzivasileiadis
Technical University of Denmark Denmark
power system optimization
power systems
machine learning
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Yinyan Liu
University of New South Wales Australia
machine learning applications
modeling energy systems
optimization of energy systems
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Santiago Grijalva
Georgia Institute of Technology United States of America
ai applications in electricity systems
machine learning
power system economics
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Shesha Jayaram
University of Waterloo Canada
power systems
high voltage engineering applications
pulse power applications
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Qing Zhao
Cornell University Netherlands
machine learning systems
machine learning
algorithmic theory applications
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Jian Jin
Purdue University United States of America
machine systems engineering
machine learning
automation robotics applications
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Peter Idowu
Penn State Harrisburg United States of America
modeling electric machine systems
power system control
electrical power systems
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Kristen Schell
Carleton University Canada
power systems planning
machine learning optimization
wind power modeling
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Pengju Liu
Umeå University Sweden
machine learning
energy system optimization
energy modeling
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Don Russell
Texas A&M University United States of America
control automation power systems
power systems real-time diagnostics
electric power engineering
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Yanbo Wang
Aalborg University Denmark
machine learning
multi-energy systems
hybrid power systems
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Anh Le
Chalmers University of Technology Sweden
machine learning applications in power systems
control of power transmission systems
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Ramadan El Shatshat
University of Waterloo Canada
artificial intelligence applications in power systems
power distribution systems
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Daniel Arnold
University of California, Berkeley United States of America
machine learning applications
power systems
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Branislav Hredzak
University of New South Wales Australia
application of ai in power systems
power systems control optimization
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Adam Birchfield
Texas A&M University United States of America
power system modeling
power system computational analysis
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Yifeng Che
Georgia Institute of Technology United States of America
machine learning applications in nuclear engineering
artificial intelligence applications in nuclear engineering
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Mostafa Kheshti
University of Warwick United Kingdom
power systems modeling
machine learning
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