Research Output per Year
Research Output per Year
Overview
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
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Generative AI for Power Grid Operations
Choi, S., Jain, R., Feng, C., Emami, P., Zhang, H., Hong, J., Kim, T., Park, S., Ding, F., Baggu, M. & Kroposki, B., 2024, 40 p.Research output: NREL › Technical Report
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Short-Term Probabilistic Solar Forecasting via Reinforcement Learning over ECMWF
Yan, J., Feng, C., Sun, M. & Zhang, J., 2024. 5 p.Research output: Contribution to conference › Paper
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Solar, Wind, and Load Forecasting Dataset for MISO, NYISO, and SPP Balancing Areas
Bryce, R., Feng, C., Sergi, B., Ring-Jarvi, R., Zhang, W. & Hodge, B.-M., 2024, 41 p.Research output: NREL › Technical Report
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Advances in Solar Forecasting: Computer Vision with Deep Learning: Article No. 100150
Paletta, Q., Terren-Serrano, G., Nie, Y., Li, B., Bieker, J., Zhang, W., Dubus, L., Dev, S. & Feng, C., 2023, In: Advances in Applied Energy. 11, 36 p.Research output: Contribution to journal › Article › peer-review
26 Scopus Citations -
A Multi-Fidelity Gaussian Process Regression Method for Probabilistic Wind Farm Power Curve Estimation: Paper No. DETC2023-114762
Li, H., Feng, C. & Zhang, J., 2023. 10 p.Research output: Contribution to conference › Paper
Awards and Honors
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IEEE Power and Energy Society General Meeting, Best Paper Award
Feng, C. (Recipient) & Hodge, B.-M. (Recipient), 2017
Prize: Honorary award
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IEEE Transactions on Sustainable Energy Outstanding Reviewer
Feng, C. (Recipient) & Zhang, F. (Recipient), 2021
Prize: Honorary award
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SAS-IIF Research Award, International Institution of Forecasters
Feng, C. (Recipient), 2017
Prize: Honorary award
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The 4th IEEE/ACM International Conference on Big Data Computing Best Student Paper Award
Feng, C. (Recipient), 2017
Prize: Honorary award