Skip to main content
padlock icon - secure page this page is secure

Semi‐parametric Forecasting of Spikes in Electricity Prices

Buy Article:

$52.00 + tax (Refund Policy)

The occurrence of extreme movements in the spot price of electricity represents a significant source of risk to retailers. A range of approaches have been considered with respect to modelling electricity prices; these models, however, have relied on time‐series approaches, which typically use restrictive decay schemes placing greater weight on more recent observations. This study develops an alternative, semi‐parametric method for forecasting, which uses state‐dependent weights derived from a kernel function. The forecasts that are obtained using this method are accurate and therefore potentially useful to electricity retailers in terms of risk management.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Document Type: Research Article

Publication date: December 1, 2013

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more