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负荷预测的交叉式自适应优选组合预测模型
引用本文:赵海青,牛东晓. 负荷预测的交叉式自适应优选组合预测模型[J]. 华北电力大学学报(自然科学版), 2000, 27(4): 13-17
作者姓名:赵海青  牛东晓
作者单位:华北电力大学基础科学系,河北保定 071003
摘    要:提出了一种适用于用电负荷预测的交叉式自适应优选组合预测模型。该模型充分考虑了用电负荷指标的特性和规律,针对用电负荷指标众多、变化各异的情况,建立预测模型库;根据标准离差,优选组合出最优模型。通过在京津唐电网的实用表明,模型具有较强的自适应性和较高的预测精度。

关 键 词:负荷预测  优选组合预测模型  灰色系统  误差分析
文章编号:1007-2691(2000)04-0013-05
修稿时间:2000-04-06

The Power Load Forecasting Model Based on the Combined Crossing Self-adaptable Optimization
ZHAO Hai-qing,NIU Dong-xiao. The Power Load Forecasting Model Based on the Combined Crossing Self-adaptable Optimization[J]. Journal of North China Electric Power University, 2000, 27(4): 13-17
Authors:ZHAO Hai-qing  NIU Dong-xiao
Abstract:In this paper, the combinatorial forecasting model based on the crossing self-adaptable optimization is proposed for the power load. The characteristics of the various loading indices are fully considered. Because of the variable conditions and too many indices, a database for the forecast models has been set up. Based on the standard deviation method, the optimum model can be selected. With the application in the power net of Beijing-Jin-Tang region, it is indicated that the model presents better self-adaptability and accuracy.
Keywords:load forecast  optimization combinatorial prediction model  gray system  error analysis
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