1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Department of Electrical Engineering, Technical University of Denmark3 Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark4 SAS Institute Inc.5 Monash University6 Monash University
The Global Energy Forecasting Competition (GEFCom2012) attracted hundreds of participants worldwide, who contributed many novel ideas to the energy forecasting field. This paper introduces both tracks of GEFCom2012, hierarchical load forecasting and wind power forecasting, with details on the aspects of the problem, the data, and a summary of the methods used by selected top entries. We also discuss the lessons learned from this competition from the organizers’ perspective. The complete data set, including the solution data, is published along with this paper, in an effort to establish a benchmark data pool for the community.
International Journal of Forecasting, 2014, Vol 30, Issue 2, p. 357-363