Talk given at EURO/INFORMS, Rome, 1 July 2013 And at UseR! 2013, Albacete, Spain, 10 July 2013.
A keynote talk given at the International Symposium on Forecasting, Seoul, South Korea. 25 June 2013.
By Heather Booth, Rob J Hyndman and Leonie Tickle. This is a chapter for a new book entitled Computational Actuarial Science with R to be published by Chapman and Hall/CRC, and edited by Arthur Charpentier.
Rob J Hyndman, George Athanasopoulos and Han Lin Shang The new version of the hts package (v3.01) has a vignette.
International Journal of Forecasting, to appear. Souhaib Ben Taieb (1) and Rob J Hyndman (2) (1) Machine Learning Group, Department of Computer Science, Université Libre de Bruxelles (2) Department of Econometrics & Business Statistics, Monash University, Clayton, Victoria, Australia Abstract : We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The available data consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations,