معرفی
Dr. Tao Hong is the Duke Energy Distinguished Professor and NCEMC Faculty Fellow at the Department of Systems Engineering and Engineering Management, University of North Carolina at Charlotte. He directs the Big Data Energy Analytics Laboratory (BigDEAL) and has been a Founding Chair of the IEEE Working Group on Energy Forecasting (2011-2019).
- Ph.D., Electrical Engineering & Operations Research (2010), NC State University
- M.S., Operations Research & Industrial Engineering (2008), NC State University
- B.Eng., Automation (2005), Tsinghua University
His research focuses on Energy Forecasting with applications in power systems operations, renewable integration, risk management, and cross-sector forecasting for healthcare, transportation, and sports. He has led major
- Delivery point level load analysis (2017-present)
- Short-term probabilistic forecasting (2016)
- Demand response modeling using smart meter data (2014-2015)
Dr. Hong's scientific contributions include 9+ journal articles on energy forecasting methodologies and 3 major forecasting competitions (GEFCom2012-2017, BigDEAL Challenge 2022). His work has been cited in leading journals like International Journal of Forecasting and IEEE Transactions on Smart Grid.
- Charlotte Business Journal Energy Education Leader of the Year (2017)
- IEEE PES PSPI Technical Committee Prize Paper Award (2016)
As a dedicated educator, Dr. Hong has advised multiple PhD and Master's students including Shreyashi Shukla (2023), Yike Li (2022), and Jordan McCorey (2021). He teaches specialized courses in energy systems planning and computational intelligence.
