电力系统及其自动化学报2011，Vol.23Issue(4)：133-136,4.
中长期电力负荷的组合预测法
Forecast Combining Approach of Mid-long Term Power Load
李建伟 1赵法起 1刘凤玲2
作者信息
- 1. 山东农业大学机械与电子工程学院,泰安271018
- 2. 山东农业大学勘察设计研究院,泰安271018
- 折叠
摘要
Abstract
The method of forecast combining could make greatly use of the information of various samples, effectively reduce the influences of the environmental factors during the forming of the single forecasting model, and improve the precision of forecast combining. By studying the methods of Grey Model (1,1), recurrence of new information with equal dimension and regression analysis, firstly, GM(1,1) based on the original progression was built to forecast the short-term data, and then, by means of the recurrence of new information with e-qual dimension, the short-term data was added to the original progression to generate a new progression; lastly, a regression model based on a new progression was built to predict the long-term power load. Numerical studies reveal that the precision of the forecast combining approach is better than that with the grey model.关键词
组合预测/灰色模型/等维新息/回归分析Key words
forecast combining/ grey model/ recurrence of new information with equal dimension/ regression analysis分类
信息技术与安全科学引用本文复制引用
李建伟,赵法起,刘凤玲..中长期电力负荷的组合预测法[J].电力系统及其自动化学报,2011,23(4):133-136,4.
