Special issue of IJF on Energy Forecasting

The latest issue of the IJF is now out, and hard copies will be mailed to subscribers shortly. This is a special issue on Energy Forecasting, guest edited by James Taylor and Antoni Espasa.

New Volume/Issue is now available on ScienceDirect

 

International Journal of Forecasting Volume 24, Issue 4,  Pages 561-792 (October-December 2008) Energy Forecasting Edited by James W. Taylor and Antoni Espasa   1. Editorial Board Page iii     Introduction   2. Energy forecasting Pages 561-565 James W. Taylor and Antoni Espasa     Energy demand   3. An hourly periodic state space model for modelling French national electricity load Pages 566-587 V. Dordonnat, S.J. Koopman, M. Ooms, A. Dessertaine and J. Collet     4. Forecasting the electricity load from one day to one week ahead for the Spanish system operator Pages 588-602 José Ramón Cancelo, Antoni Espasa and Rosmarie Grafe     5. A smooth transition periodic autoregressive (STPAR) model for short-term load forecasting Pages 603-615 Luiz Felipe Amaral, Reinaldo Castro Souza and Maxwell Stevenson     6. Input space to neural network based load forecasters Pages 616-629 Alexandre P. Alves da Silva, Vitor H. Ferreira and Roberto M.G. Velasquez     7. Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data Pages 630-644 Lacir J. Soares and Marcelo C. Medeiros     8. An evaluation of methods for very short-term load forecasting using minute-by-minute British data Pages 645-658 James W. Taylor     9. A nonlinear mixed effects model for the prediction of natural gas consumption by individual customers Pages 659-678 Marek Brabec, Ondřej Konár, Emil Pelikán and Marek Malý     Wind power   10. Adaptive combination of forecasts with application to wind energy Pages 679-693 Ismael Sánchez     11. Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models Pages 694-709 René Jursa and Kurt Rohrig     Electricity price   12. Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions Pages 710-727 Anastasios Panagiotelis and Michael Smith     13. A new approach to characterizing and forecasting electricity price volatility Pages 728-743 Kam Fong Chan, Philip Gray and Bart van Campen     14. Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models Pages 744-763 Rafał Weron and Adam Misiorek     15. Forecasting electricity prices: The impact of fundamentals and time-varying coefficients Pages 764-785 Nektaria V. Karakatsani and Derek W. Bunn     16. Keyword Index Volume 24 (2008) Pages 786-788     17. Author Index Volume 24 (2008) Pages 789-791