| 基于改进Elman网络的燃气负荷预测 |
| |
| 引用本文： | 苏刚,王玲玲,徐永生.基于改进Elman网络的燃气负荷预测[J].东南大学学报(自然科学版),2006(Z1). |
| |
| 作者姓名： | 苏刚 王玲玲 徐永生 |
| |
| 作者单位： | [1]天津城市建设学院电子与信息工程系 [2]天津城市建设学院热能工程系 [3]天津城市建设学院热能工程系 天津 |
| |
| 摘 要： | 为提高燃气负荷预测的精度,分析了燃气小时负荷的变化规律和影响因素,建立了燃气小时负荷预测模型,采用具有输出-输入反馈机制的改进Elman(OIF Elman)网络对燃气小时负荷进行预测.与传统的Elman网络比较,OIF Elman网络不仅计入了隐层节点的反馈,而且考虑输出层节点的反馈,以便从有限的训练样本中获得更多的信息.预测结果表明,在样本点较少时,无论在训练速度上,还是在预测精度上,OIF Elman网络明显优于Elman网络.OIF Elman网络提高了网络的泛化能力,既降低了对训练样本个数的需求,又能提高预测精度,在燃气负荷预测中得到成功的应用.
|
| 关 键 词： | OIFElman网络 燃气负荷 预测 |
Gas load forecasting with improved Elman network |
| |
| Su Gang Wang Lingling Xu Yongsheng.Gas load forecasting with improved Elman network[J].Journal of Southeast University(Natural Science Edition),2006(Z1). |
| |
| Authors: | Su Gang Wang Lingling Xu Yongsheng |
| |
| Institution: | Su Gang1 Wang Lingling2 Xu Yongsheng2 |
| |
| Abstract: | In order to improve the forecasting accuracy,in accordance with the influence factors and characteristics of hour gas load,a model has been established to forecasting hour gas load with OIF(output-input feedback) Elman network. Compared with convertional Elman network,OIF Elman network takes into account not only the hidden nodes feedback but also the output feedback so as to obtain more information from limited sampling spots.The emulation illustrates that OIF Elman network is better than Elman network not only in training speed but also in accuracy when the sampling spots are less.OIF Elman network improves the generalization.It also improves the forecasting accuracy with less sampling spots. Therefore it can be used successfully to forecast the hour gas load. |
| |
| Keywords: | OIF Elman network gas load forecasting |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
