A Novel Hybrid Short Term Load Forecasting Model Considering the Error of Numerical Weather Prediction

A Novel Hybrid Short Term Load Forecasting Model Considering the Error of Numerical Weather Prediction

In order to reduce the effect of numerical weather prediction (NWP) error on short term load forecasting (STLF) and improve the forecasting accuracy, a new hybrid model based on support vector regression (SVR) optimized by an artificial bee colony (ABC) algorithm (ABC-SVR) and seasonal autoregressiv...

Full description

Bibliographic Details
Main Authors: Guowei Cai, Wenjin Wang, Junhai Lu
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Energies
Subjects:
short term load forecasting (STLF)
support vector regression (SVR)
artificial bee colony (ABC)
seasonal autoregressive integrated moving average (SARIMA)
Online Access:http://www.mdpi.com/1996-1073/9/12/994

Internet

http://www.mdpi.com/1996-1073/9/12/994

Similar Items