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Cong Feng


Research Activity per Year


Personal Profile

Cong Feng's research interests lie in machine learning-based renewable energy and load forecasting, energy infrastructure detection, and smart grid big data analytics. He has been working on multiple U.S. Department of Energy, Advanced Research Projects Agency–Energy (ARPA-E), and industrial projects.

Research Interests

Renewable energy and load forecasting

Energy infrastructure discovery

Smart grid sensing and analytics

Education/Academic Qualification

PhD, Mechanical Engineering, The University of Texas at Dallas

Master, Mechanical Engineering, The University of Texas at Dallas

Bachelor, Power and Energy Systems, Wuhan University


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Collaborations and Top Research Areas From the Past 5 Years

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