摘要
将发电站视为本征性灰色系统 ,对电力负荷建立灰色预测模型 ,并根据实际结果对原始模型进行优化。使用序列平移、残差校正、等维新息等方法提高了模型的精度。
According to the analysis of the electric power load,the grey predicting model is founded and optimized. Several measures are used to optimize the basal predic ting model,such as moving parallel,error-correcting,using new information etc . The actual data indicate that the predicting is reliable.
出处
《自动化技术与应用》
2005年第2期19-21,共3页
Techniques of Automation and Applications
关键词
电力负荷
灰色模型
残差校正
优化
Electric power load
Grey model
Residual error
Optimization
