计算机应用与软件2012，Vol.29Issue(12)：280-281,314,3.DOI:10.3969/j.issn.1000-386x.2012.12.079
基于加权支持向量机与AdaBoost集成的预测模型研究
STUDY ON FORECASTING MODEL BASED ON WSVR AND ADABOOST
胡国胜1
作者信息
- 1. 上海电子信息职业技术学院计算机应用系 上海201411
- 折叠
摘要
Abstract
Power load forecast is a hot topic in recent year's researches, and is also rather difficult due to the impacts from the factors such as temperature, humidity and nature disaster. Hence, in this paper, in order to overcome the influence of these stochastic factors on power load, we introduce the weights of historical observational data and improve the support vector regression forecasting model and the intelligent selection of model parameters. We also use AdaBoost algorithm to boost the capability of weighted support vector regression forecast and to improve the forecasting precision. By simulative modelling, we carry out the forecasting experiment on actual power load data, the result illustrates that the proposed approach has better forecasting accuracy than the single SVM model and the BP model have with high stability.关键词
加权支持向量机/AdaBoost/回归预测Key words
Weighted support vector regressor/AdBoost/Regression forecast分类
信息技术与安全科学引用本文复制引用
胡国胜..基于加权支持向量机与AdaBoost集成的预测模型研究[J].计算机应用与软件,2012,29(12):280-281,314,3.
