The Global Energy Forecasting Competition (GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy demand. GEFCom was first held in 2012 on

Kaggle Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with othe ...

, and the second GEFCom was held in 2014 on CrowdANALYTIX.

GEFCom 2017

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 Work
https://www.tangent.works/
Slovakia) * Gábor Nagy and Gergő Barta (Budapest University of Technology and Economics, Hungary), Gábor Simon (dmlab, Hungary)

Older competitions

GEFCom 2014

GEFCom2014 was announced by Dr. Tao Hong in an article for ''The Oracle'', a publication of the

International Institute of Forecasters The International Institute of Forecasters (IIF) is a non-profit organization based in Medford, Massachusetts and founded in 1981 that describes itself as "dedicated to developing and furthering the generation, distribution, and use of knowledge on ...

. 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. The best performers in the competition were invited to submit papers for a special issue of the ''

International Journal of Forecasting The ''International Journal of Forecasting'' is a quarterly peer-reviewed scientific journal on forecasting. It is published by Elsevier on behalf of the International Institute of Forecasters. Its objective is to "unify the field of forecasting an ...

'' on probabilistic energy forecasting. 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 The Institute of Electrical and Electronics Engineers (IEEE) is a 501(c)(3) professional association for electronic engineering and electrical engineering (and associated disciplines) with its corporate office in New York City and its operation ...

was a sponsor of the competition.

GEFCom 2012

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

. The competition was hosted on

, a service that runs data science competitions. It included two tracks: a hierarchical load forecasting track and a

wind power forecasting A wind power forecast corresponds to an estimate of the expected production of one or more wind turbines (referred to as a wind farm) in the near future, up to a year. Forecast are usually expressed in terms of the available power of the wind farm ...

track; both opened to contestants in September 2012. 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. The organizers of the competition described the results in an article in the April–June 2014 issue of the ''International Journal of Forecasting''. Papers by the top performers in the competition describing their methods also appeared in the issue. According to competition Chair Dr. Tao Hong, GEFCom2012 had five main aims: # Improve the forecasting practices of the utility industry # Bring together state-of-the-art techniques for

energy forecasting Energy forecasting includes forecasting demand ( load) and price of electricity, fossil fuels (natural gas, oil, coal) and renewable energy sources (RES; hydro, wind, solar). Forecasting can be both expected price value and probabilistic forecasti ...

# Bridge the gap between academic research and industry practice # Promote analytics in power and energy education # Prepare the industry to overcome the forecasting challenges brought by the smart grid technologies and renewable integration needs

External links

Official website of Global Energy Forecasting Competition

IEEE Power and Energy Society

International Institute of Forecasters

References

Contest on CrowdANALYTIX

{{reflist Forecasting competitions