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Scholarly Journal Papers

  1. Mladen Kezunovic, Pierre Pinson, Zoran Obradovic, Santiago Grijalva, Tao Hong, and Ricardo Bessa, "Big data analytics for future electricity grids," Electric Power Systems Research. vol. 189, pp.106788, December 2020 (ScienceDirect)
  2. Dazhi Yang, Stefano Alessandrini, Javier Antonanzas, Fernando Antonanzas-Torres, Viorel Badescu, Hans Georg Beyer, Robert Blaga et al. "Verification of deterministic solar forecasts." Solar Energy, vol. 210, pp. 20-37, November 2020. (ScienceDirect)
  3. Tao Hong, Pierre Pinson, Yi Wang, Rafał Weron, Dazhi Yang, and Hamidreza Zareipour, "Energy Forecasting: A Review and Outlook." IEEE Open Access Journal of Power and Energy, vol. 7, pp. 376-388, October 2020. OAJPE Inaugural Issue Special Section of EiC Invited Papers
  4. Antonio Bracale, Pierluigi Caramia, Pasquale De Falco, and Tao Hong. "A Multivariate Approach to Probabilistic Industrial Load Forecasting." Electric Power Systems Research. vol.187, pp.106430, October 2020.
  5. Jue Wang, Hao Zhou, Tao Hong, Xiang Li, and Shouyang Wang. "A multi-granularity heterogeneous combination approach to crude oil price forecasting." Energy Economics. vol..91, pp.104790, September 2020. (ScienceDirect)
  6. Masoud Sobhani, Tao Hong, and Claude Martin, "Temperature data cleansing for electric load forecasting," International Journal of Forecasting, vol.36, no.2, pp.324-333, April-June, 2020 (ScienceDirect).
  7. Antonio Bracale, Pierluigi Caramia, Pasquale De Falco, and Tao Hong, "Multivariate quantile regression for short-term probabilistic load forecasting," IEEE Transactions on Power Systems, vol.35, no.1, pp.628-638, January, 2020. (IEEE Xplore)
  8. Hossein Panamtash, Qun Zhou, Tao Hong, Zhihua Qu, and Kristopher Davis, "A copula-based Bayesian method for probabilistic solar power forecasting," Solar Energy, vol. 196, pp. 336-345, January, 2020. (ScienceDirect
  9. Tao Hong, "Forecasting with high frequency data: M4 competition and beyond," International Journal of Forecasting, vol.36, no.1, pp.191-194, January, 2020. (ScienceDirect) 
  10. Meng Yue, Tao Hong, and Jianhui Wang, "Descriptive analytics based anomaly detection for cybersecure load forecasting," IEEE Transactions on Smart Gridvol. 10, no. 6, pp. 5964-5974, November, 2019. (IEEE Xplore
  11. 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. (ScienceDirect)
  12. Jian Luo, Tao Hong, and Shu-Cherng Fang, "Robust regression models for load forecasting," IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 5397-5404, September, 2019. (IEEE Xplore)
  13. Yi Wang, Ning Zhang, Yushi Tan, Tao Hong, Daniel Kirschen, and Chongqing Kang, "Combining probabilistic load forecasts," IEEE Transactions on Smart Grid, vol. 10, no. 4, pp. 3664-3674, July 2019. (arXivIEEE Xplore). 
  14. 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. (arXiv; IEEE XploreEssential Science Indicators Highly Cited Paper
  15. Antonio Bracale, Guido Carpinelli, Pasquale De Falco, and Tao Hong, "Short-Term Industrial Reactive Power Forecasting," International Journal of Electrical Power & Energy Systems, vol. 107, pp. 177-185, May 2019. (ScienceDirect
  16. Masoud Sobhani, Allison Campbell, Saurabh Sangamwar, Changlin Li, and Tao Hong, "Combining weather stations for electric load forecasting," Energies, vol. 12, no. 8, pp. 1510, April 2019. (open access
  17. Jingrui Xie and Tao Hong, "Variable selection methods for probabilistic load forecasting: empirical evidence from seven states of the United States," IEEE Transactions on Smart Grid, vol.9, no.6, pp 6039-6046, November 2018. (IEEE Xplore)
  18. Chang Liu, Tao Hong, Huaifeng Liu, and Lili Wang, "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: an empirical study across 285 cities in China," Energy Policy, vol.121, pp 300-313, October 2018. (ScienceDirect)
  19. Jue Wang, Xiang Li, Tao Hong, and Shouyang Wang, "A semi-heterogeneous approach to combining crude oil price forecasts," Information Sciences, vol.460-461, pp 279-292, September 2018. (ScienceDirect
  20. Jingrui Xie and Tao Hong, "Temperature scenario generation for probabilistic load forecasting," IEEE Transactions on Smart Grid, vol.9, no.3, pp 1680-1687, May 2018. (working paper; IEEE Xplore)
  21. Jian Luo, Tao Hong and Meng Yue, "Real-time anomaly detection for very short-term load forecasting," Journal of Modern Power Systems and Clean Energy, vol.6, no.2, pp 235-243, March 2018. (open access)
  22. Jingrui Xie and Tao Hong, "Load forecasting using 24 solar terms," Journal of Modern Power Systems and Clean Energy, vol.6, no.2, pp 208-214, March 2018. (open access)
  23. Jian Luo, Tao Hong and Shu-Cherng Fang, "Benchmarking robustness of load forecasting models under data integrity attacks," International Journal of Forecasting, vol.34, no.1, pp 89-104, January-March 2018. (working paper; ScienceDirect)
  24. Qiaochu He and Tao Hong, "Integrated facility location and production scheduling in multi-generation energy systems," Operations Research Letters, vol.46, no.1, pp 153-157, January 2018. (working paperScienceDirect)
  25. Jingrui Xie, Ying Chen, Tao Hong and Thomas D. Laing, "Relative humidity for load forecasting models," IEEE Transactions on Smart Grid, vol.9, no.1, pp 191-198, January 2018. (working paperIEEE Xplore)
  26. Jingrui Xie and Tao Hong, "Wind speed for load forecasting models," Sustainability, vol 9, no 5, pp 795, May 2017 (open access). Feature paper of the Sustainability Special Issue on “Wind Energy, Load and Price Forecasting towards Sustainability
  27. Jingrui Xie, Tao Hong, Thomas D. Laing and Chongqing Kang, "On normality assumption in residual simulation for probabilistic load forecasting," IEEE Transactions on Smart Grid, vol.8, no.3, pp 1046-1053, May 2017. (working paperIEEE Xplore)
  28. Bidong Liu, Jakub Nowotarski, Tao Hong and Rafal Weron, "Probabilistic load forecasting via quantile regression averaging on sister forecasts," IEEE Transactions on Smart Grid, vol.8, no.2, pp 730-737, March 2017. (working paperIEEE Xplore)
  29. Jingrui Xie and Tao Hong, "GEFCom2014 probabilistic electric load forecasting: an integrated solution with forecast combination and residual simulation," International Journal of Forecastingvol.32, no.3, pp 1012-1016, July-September 2016. (working paperScienceDirect)
  30. Tao Hong and Shu Fan, "Probabilistic electric load forecasting: a tutorial review," International Journal of Forecastingvol.32, no.3, pp 914-938, July-September 2016. (working paperScienceDirectEssential Science Indicators Highly Cited Paper; IJF Outstanding Paper Award
  31. 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. (working paper; ScienceDirectcompetition dataEssential Science Indicators Highly Cited Paper
  32. Pu Wang, Bidong Liu and Tao Hong, "Electric load forecasting with recency effect: a big data approach," International Journal of Forecasting, vol.32, no.3, pp 585-597, July-September 2016. (working paper; ScienceDirect) 
  33. Jakub Nowotarski, Bidong Liu, Rafal Weron and Tao Hong, "Improving short term load forecast accuracy via combining sister forecasts," Energy, vol.98, pp 40-49, March 2016. (working paperScienceDirect)
  34. Jingrui Xie, Tao Hong and Joshua Stroud, "Long term retail energy forecasting with consideration of residential customer attrition," IEEE Transactions on Smart Grid, vol.6, no.5, pp. 2245-2252, September 2015. (working paper; IEEE Xplore)
  35. 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. (working paper; ScienceDirect) 
  36. 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. (ScienceDirect; competition dataEssential Science Indicators Highly Cited Paper; Short-listed for IJF Best Paper Award; Emerald Citations of Excellence for 2017
  37. Tao Hong and Pu Wang, "Fuzzy interaction regression for short term load forecasting," Fuzzy Optimization and Decision Making, vol.13, no.1, pp. 91-103, March 2014. (Springer Link)
  38. 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. (IEEE Xplore) IEEE PES Technical Committee Prize Paper Award 2016 


  1. Zhaoyu Wang, Chenghong Gu, Mohammad Shahidehpour, Qiuhua Huang, Tao Hong, and Anurag K Srivastava, "Guest Editorial: Machine Learning in Power Systems," IET Smart Grid, Vol. 3, No. 4, pp. 419-420, August 2020. (IEEE Xplore)
  2. Tao Hong and Pierre Pinson, "Energy forecasting in the big data world," International Journal of Forecastingvol. 35, no. 4, pp. 1387-1388, October-December, 2019. (ScienceDirect)
  3. Tao Hong, Chen Chen, Jianwei Huang, Ning Lu, Le Xie and Hamidreza Zareipour, "Guest Editorial: big data analytics for grid modernization," IEEE Transactions on Smart Grid, vol.7, no.5, pp 2395-2396, September, 2016. (IEEE Xplore)
  4. Tao Hong, Shu Fan, Wei-Jen Lee, Wenyuan Li, Anil Pahwa, Pierre Pinson, Jianhui Wang and Hamidreza Zareipour, "Guest editorial: special section on Analytics for energy forecasting with applications to smart grid," IEEE Transactions on Smart Grid, vol.5, no.1, pp. 399-401, January, 2014. (IEEE Xplore)

Trade Journal and Magazine Papers

  1. Curt Puckett, Craig Williamson, Claude Godin, Will Gifford, Jonathan Farland, Tom Laing, Tao Hong, "Utility load research: The future of load research is now," IEEE Power and Energy Magazine, vol.18, no.3, pp 61-70, May-June 2020.
  2. Ning Lu, and Tao Hong. "Utility Rate Making: An Intersection of Economics and Social Good [Guest Editorial]." IEEE Power and Energy Magazine, vol.18, no.3, pp 14-16, May-June 2020.
  3. 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. (IEEE Xplore)
  4. 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. (IEEE Xplore)
  5. Tao Hong, "Big data analytics: making smart grid smarter [Guest Editorial],IEEE Power and Energy Magazine, vol.16, no.3, pp 12-16, May-June 2018. (IEEE Xplore)
  6. Jingrui Xie and Tao Hong, "Improving gas load forecasts with big data," Natural Gas & Electricity, vol.32, no.10, pp 25-30, May 2016. (author's copyWiley Online Library)
  7. Tao Hong, "Crystal ball lessons in predictive analytics," EnergyBiz, pp. 35-37, Spring 2015 (web version - EnergyBiz; download print issue; web version - IntelligentUtility)
  8. Tao Hong, "Integrated energy forecasting: improving T&D planning and operations," Electricity Today, pp. 58-62, January/February 2015 (web version)
  9. Tao Hong, "How to juggle the analytics of forecasting: 13 lucky tips," Intelligent Utility, pp. 11-13, July/August, 2014 (web versiondownload paperdownload print issue)
  10. Tao Hong, "Energy forecasting: past, present and future," Foresight: The International Journal of Applied Forecasting, issue 32, pp. 43-48, Winter 2014. (IIFworking paper)
  11. Tao Hong and Alyssa Farrell, "Utilities dust off the forecasting playbook: smart grid data brings challenges and opportunities," Analytics Magazine, pp.50-57, July/August 2013. (web version; download paper; digital version)

Thesis & Dissertation

  1. Tao Hong, "Short Term Electric Load Forecasting," PhD dissertation, North Carolina State University, Sep 10th, 2010 (download PDF from NCSU library)
  2. Tao Hong, "Long-Term Spatial Load Forecasting Using Human Machine Co-construct Intelligence Framework," Master thesis, North Carolina State University, Oct 28th, 2008

White Papers

  1. Tao Hong and Mohammad Shahidehpour, "Load forecasting case study," National Association of Regulatory Utility Commissioners, pp.1-171, 2015. (open access; blog post)
  2. Sen-Hao Lai and Tao Hong, "When one size no longer fits all: electric load forecasting with a geographic hierarchy," SAS White Paper, pp.1-14, 2013. (open access)

Conference Proceedings

  1. Tumininu Lawanson, Vinayak Sharma, Valentina Cecchi and Tao Hong, “Analysis of Outage Frequency and Duration in Distribution Systems using Machine Learning”, 2020 52nd North American Power Symposium (NAPS).
  2. Antonio Bracale, Guido Carpinelli, Pasquale De Falco and Tao Hong, "Short-term industrial load forecasting: a case study in an Italian factory," 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), Torino, Italy, September 26-29, 2017 (IEEEXplore)
  3. Jingrui Xie and Tao Hong, "Comparing two model selection frameworks for probabilistic load forecasting," 2016 International Conference on Probabilistic Methods Applied to Power Systems, Beijing, ChinaOctober 16-20, 2016 (IEEEXplore)
  4. Jingrui Xie; Tao Hong and Chongqing Kang, "From high-resolution data to high-resolution probabilistic load forecasts," 2016 IEEE PES Transmission and Distribution Conference and Exposition, Dallas, TX, May 2-5, 2016 (working paper)
  5. Jingrui Xie, Bidong Liu, Xiaoqian Lyu, Tao Hong, and David Basterfield, "Combining load forecasts from independent experts: experience at NPower forecasting challenge 2015," the 47th North American Power Symposium (NAPS2015), Charlotte, NC, October 4 - 6, 2015 (IEEE Xplore)
  6. Tao Hong, Tom Laing and Pu Wang, "Four best practices of load forecasting for electric cooperatives," 2014 IEEE Rural Electric Power Conference, Fort Worth, TX, May 18 - 21, 2014 (IEEE Xplore; working paper)
  7. Tao Hong and Pu Wang, "On the impact of demand response: load shedding, energy conservation, and further implications to load forecasting," 2012 IEEE PES General Meeting, San Diego, CA, July 19-22, 2012
  8. Tao Hong; Pu Wang, and H. Lee Willis, "A naive multiple linear regression benchmark for short term load forecasting," 2011 IEEE PES General Meeting, Detroit, MI, July 24-29, 2011 (Download presentation slides including panel session introduction)
  9. Tao Hong; Min Gui; Mesut E. Baran; H. Lee Willis , "Modeling and forecasting hourly electric load by multiple linear regression with interactions," Power and Energy Society General Meeting, 2010 IEEE , vol., no., pp.1-8, July 25-29, 2010
  10. Tao Hong; Pu Wang; Anil Pahwa; Min Gui; Simon M. Hsiang, "Cost of temperature history data uncertainties in short term electric load forecasting," Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on , vol., no., pp.212-217, June 14-17, 2010
  11. Tao Hong; James J Burke, "Calculating line losses in smart grid: A new rule of thumb," 2010 IEEE PES Transmission and Distribution Conference and Exposition, April 19-22, 2010
  12. Tao Hong; Hsiang, S.M.; Le Xu; , "Human-machine co-construct intelligence on horizon year load in long term spatial load forecasting," IEEE Power & Energy Society General Meeting, July 26-30, 2009
  13. Tao Hong and Mo-Yuen Chow, "Resource allocation for a life science automation line: a Petri nets approach," Proceedings of CASE07, the 3rd Annual IEEE Conference on Automation Science and Engineering, pp 255-260, Scottsdale, AZ, USA, September 22-25, 2007
  14. Tao Hong, Mo-Yuen Chow, Perry Haaland, Dylan Wilson and Robert Walker "Scheduling a life science high-throughput platform under starvation constraints using timed transition Petri nets and heuristic search," Proceedings of ISIE07, 2007 IEEE International Symposium on Industrial Electronics, Vigo, Spain, June 4-7, 2007
  15. Tao Hong and Mo-Yuen Chow, "Timed Petri nets modelling of high-throughput screening process for fault study," Proceedings of IECON06, The 32nd Annual Conference of the IEEE Industrial Electronics Society, pp 4425-4430, Paris, France, November 7-10, 2006
  16. Yunfei Wang, Geng Yang and Tao Hong, "Analysis and implementation of AC motor braking method without energy returning or braking unit," The 8th International Conference on Electrical Machines and Systems (ICEMS 2005), Volume II, pp 1447-1451, Nanjing, China, September 27-29, 2005.