Global Energy Forecasting Competition

IEEE Working Group on Energy Forecasting opened Global Energy Forecasting Competition 2017 (GEFCom2017) termed: Hierarchical Probabilistic Load Forecasting.

GEFCom2017 brought together state-of-the-art techniques and methodologies for hierarchical probabilistic energy forecasting. The competition featured a bi-level setup: a three-month qualifying match that included two tracks, and a one-month final match on a large-scale problem. In total 177 academic and company teams enrolled the competition.

Qualifying match defined data track winners:

• Ján Dolinský, Mária Starovská and Robert Toth (Tangent Works, Slovakia)
• Andrew J. Landgraf (Battelle, USA)
• Slawek Smyl (Uber Technologies, USA) and Grace Hua (Microsoft, USA)
• Gábor Nagy and Gergő Barta (Budapest University of Technology and Economics, Hungary), Gábor Simon (dmlab, Hungary)

Qualifying match open track winners:

• Geert Scholma (The Netherlands)
• Florian Ziel (Universität Duisburg-Essen, Germany)
• Jingrui Xie (SAS Institute, Inc., USA)

Final match winners:

• Isao Kanda and Juan Quintana (Japan Meteorological Corporation, Japan)
• Ján Dolinský, Mária Starovská and Robert Toth (Tangent Works [https://www.tangent.works/ https://www.tangent.works/], Slovakia)
• Gábor Nagy and Gergő Barta (Budapest University of Technology and Economics, Hungary), Gábor Simon (dmlab, Hungary)

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GEFCom2014 was announced by Dr. Tao Hong in an article for The Oracle, a publication of the International Institute of Forecasters.{{cite web|url = http://forecasters.org/oracle-march-2014-global-energy-forecasting-competition/|title = Global Energy Forecasting Competition|date = March 2014|accessdate = June 19, 2014|work = The Oracle|archive-date = July 1, 2014|archive-url = https://web.archive.org/web/20140701212240/http://forecasters.org/oracle-march-2014-global-energy-forecasting-competition/|url-status = dead}} The competition was scheduled to begin on August 15, 2014 and end on December 15, 2014. In addition to individual prizes, GEFCom2014 also featured institute prizes for institutes with multiple well-performing teams.{{cite web|url=http://blog.drhongtao.com/2014/02/institute-prize-for-gefcom2014.html|title = Announcing Institute Prize for Global Energy Forecasting Competition 2014|last = Hong|first = Tao|date = February 14, 2014|accessdate = June 19, 2014}} The best performers in the competition were invited to submit papers for a special issue of the International Journal of Forecasting on probabilistic energy forecasting.{{cite web|url=http://blog.drhongtao.com/2013/10/probabilistic-energy-forecasting.html|title = Call For Papers: Probabilistic Energy Forecasting, International Journal of Forecasting|last = Hong|first = Tao|date = October 13, 2013|accessdate = June 19, 2014}} According to the website, GEFCom2014 had additional tracks in 2014: in addition to the hierarchical load forecasting and wind energy forecasting tracks, there was a price forecasting track and solar energy forecasting track. The IEEE Power & Energy Society was a sponsor of the competition.{{cite web|url=https://site.ieee.org/pes-pspic/about-pspi/subcommittees/energy-forecasting/|title = Energy Forecasting|publisher = IEEE Power & Energy Society|access-date = June 19, 2014}}

GEFCom 2012 was organized by a team comprising Dr. Tao Hong (Chair), Dr. Shu Fan (Vice Chair, Load Forecasting), and Dr. Pierre Pinson (Vice Chair, Wind Forecasting). Sponsors included the IEEE Working Group on Energy Forecasting, IEEE Power System Planning and Implementation Committee, IEEE Power and Energy Education Committee, IEEE Power and Energy Society, IEEE Transactions on Smart Grid, International Journal of Forecasting, WeatherBank Inc, and Kaggle. The competition was hosted on Kaggle, a service that runs data science competitions. It included two tracks: a hierarchical load forecasting track and a wind power forecasting track; both opened to contestants in September 2012.{{cite web|url=http://www.kaggle.com/c/global-energy-forecasting-competition-2012-load-forecasting|title = Global Energy Forecasting Competition 2012 – Load Forecasting|publisher= Kaggle|date = September 1, 2012|accessdate = June 19, 2014}}{{cite web|url=https://www.kaggle.com/c/GEF2012-wind-forecasting|title = Global Energy Forecasting Competition 2012 – Wind Forecasting|publisher = Kaggle|date = September 6, 2012|accessdate = June 19, 2014}} More than 200 teams submitted more than 2,000 entries focusing on hierarchical load forecasting and wind power forecasting. The winners were announced by the IEEE Power & Energy Society (one of the sponsors of the competition) on September 30, 2013.{{cite web|url=http://www.ieee-pes.org/ieee-pes-announces-the-eight-winning-teams-for-gefcom2012|title = IEEE PES Announces the Eight Winning Teams for the Global Energy Forecasting Competition 2012|date = September 30, 2013|accessdate = June 19, 2014|publisher = IEEE Power & Energy Society}}{{cite web|url=https://finance.yahoo.com/news/ieee-power-energy-society-announces-120700338.html|title = IEEE Power & Energy Society Announces the Eight Winning Teams for the Global Energy Forecasting Competition 2012. |publisher = Yahoo! Finance|date = October 8, 2013|accessdate = June 19, 2014}}

The organizers of the competition described the results in an article in the April–June 2014 issue of the International Journal of Forecasting.{{cite journal|title = Global Energy Forecasting Competition 2012|last1 = Hong|first1 = Tao|last2 = Pinson|first2 = Pierre|last3 = Fan|first3 = Shu|date = April–June 2014|doi = 10.1016/j.ijforecast.2013.07.001|volume = 30|issue = 2|journal = International Journal of Forecasting|pages = 357–363}} Papers by the top performers in the competition describing their methods also appeared in the issue.{{cite web|url=http://robjhyndman.com/hyndsight/gefcom2014/|title = Global energy forecasting competitions|last = Hyndman|first = Rob J.|date = February 19, 2014|accessdate = June 19, 2014|publisher = Hyndsight}}

According to competition Chair Dr. Tao Hong, GEFCom2012 had five main aims:

1. Improve the forecasting practices of the utility industry
2. Bring together state-of-the-art techniques for energy forecasting
3. Bridge the gap between academic research and industry practice
4. Promote analytics in power and energy education
5. Prepare the industry to overcome the forecasting challenges brought by the smart grid technologies and renewable integration needs

• [http://www.drhongtao.com/gefcom/ Official website of Global Energy Forecasting Competition]
• [http://www.ieee-pes.org/ IEEE Power and Energy Society]
• [http://forecasters.org/ International Institute of Forecasters]

• [https://www.crowdanalytix.com/contests/global-energy-forecasting-competition-2014-probabilistic-electricity-price-forecasting Contest on CrowdANALYTIX]
• [http://blog.drhongtao.com/2017/03/leaderboard-for-gefcom2017-qualifying-match.html]
• [https://www.ieee-pes.org/ieee-pes-announces-the-winning-teams-for-the-global-energy-forecasting-competition-2017]

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Category:Forecasting competitions