Dr. Tao Hong

Dr. Tao Hong

Duke Energy Distinguished Professor, NCEMC Faculty Fellow, Graduate and Research Director
Industrial and Systems Engineering
704-687-1957
Smith 313

Personal Website: 

Website

Education:

  • Ph.D., (co-majors) Electrical Engineering and Operations Research, North Carolina State University, 2010
  • M.S., (co-majors) Operations Research and Industrial Engineering, North Carolina State University, 2008
  • M.S., Electrical Engineering, North Carolina State University, 2008
  • B.Eng., Automation, Tsinghua University, 2005

Classes:

  • SEGR4961/EMGT5961 Introduction to Energy Systems
  • SEGR4963/EMGT5963 Energy Systems Planning
  • SEGR4964/EMGT5964 Case Studies in the Energy Industry
  • EMGT6910 Forecasting Techniques, Methodologies, and Practice (formerly Technological Forecasting and Decision Making)
  • EMGT6912 Computational Intelligence
  • EMGT6965 Energy Analytics
  • EMGT6985 Engineering Management Project

Research:

  • Energy forecasting
  • Power systems operations and planning
  • Renewable integration
  • Risk management
  • Energy trading
  • Retail forecasting
  • Revenue optimization
  • Forecasting in heathcare, transportation, and sports

Research Grants:

  • Delivery point level load and weather data analysis, sponsored by North Carolina Electric Membership Corporation, 2017 – present
  • Short term load forecasting under data attacks, sponsored by US Department of Energy and Brookhaven National Laboratory, 2016 – present
  • Short-term probabilistic load forecasting, sponsored by North Carolina Electric Membership Corporation, 2016
  • Hierarchical load forecasting, sponsored by North Carolina Electric Membership Corporation, 2015
  • Demand response forecasting using smart meter data, sponsored by Pacific Gas & Electric and DNV GL, 2014 – 2015
  • Long term load forecasting case study, sponsored by US Department of Energy and National Association of Regulatory Utility Commissioners, 2014 – 2015

Selected Publications:

  • Tao Hong, Jingrui Xie, and Jonathan Black, “Global Energy Forecasting Competition 2017: Hierarchical Probabilistic Load Forecasting,” International Journal of Forecasting, vol. 35, no. 4, pp. 1389-1399, October-December, 2019.
  • Yi Wang, Qixin Chen, Tao Hong, and Chongqing Kang, “Review of smart meter data analytics: applications, methodologies, and challenges,” IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 3125-3148, May 2019.
  • Tao Hong, David Wenzhong Gao, Tom Laing, Dale Kruchten, and Jorge Calzada, “Training energy data scientists: universities and industry need to work together to bridge the talent gap,” IEEE Power and Energy Magazine, vol.16, no.3, pp 66-73, May-June 2018.
  • Jonathan Black, Alex Hofmann, Tao Hong, Joseph Roberts, and Pu Wang, “Weather data for energy analytics: from modeling outages and reliability indices to simulating distributed photovoltaic fleets,” IEEE Power and Energy Magazine, vol.16, no.3, pp 43-53, May-June 2018.
  • Tao Hong and Shu Fan, “Probabilistic electric load forecasting: a tutorial review”, International Journal of Forecasting, vol.32, no.3, pp 914-938, July-September, 2016
  • Tao Hong, Pierre Pinson, Shu Fan, Hamidreza Zareipour, Alberto Troccoli and Rob J. Hyndman, “Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond”, International Journal of Forecasting, vol.32, no.3, pp 896-913, July-September, 2016.
  • Tao Hong, Pu Wang and Laura White, “Weather station selection for electric load forecasting”, International Journal of Forecasting, vol.31, no.2, pp 286-295, April-June, 2015.
  • Tao Hong, Pierre Pinson and Shu Fan, “Global energy forecasting competition 2012”, International Journal of Forecasting, vol.30, no.2, pp 357-363, April-June, 2014.
  • Tao Hong, Jason Wilson and Jingrui Xie, “Long term probabilistic load forecasting and normalization with hourly information”, IEEE Transactions on Smart Grid, vol.5, no.1, pp.456-462, January, 2014

Honors & Awards:

  • Charlotte Business Journal Energy Education Leader of the Year (2017)
  • IEEE PES PSPI Technical Committee Prize Paper Award (2016)
  • IEEE PES PSPI Technical Committee Working Group Recognition Award (2015)
  • IEEE PES Technical Council Distinguished Service Award (2014)

Professional Affiliations:

  • Senior Member, Institute of Electrical and Electronics Engineers
  • Director at Large, International Institute of Forecasters