| 数据规格化在燃气负荷预测的应用 |
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| 引用本文： | 梁金凤,杨俊杰,高铸. 数据规格化在燃气负荷预测的应用[J]. 煤气与热力, 2010, 30(11): 25-27 |
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| 作者姓名： | 梁金凤 杨俊杰 高铸 |
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| 作者单位： | 新奥燃气技术研究发展有限公司,河北,廊坊,065001 |
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| 摘 要： | 探讨了燃气负荷预测中规格化处理方法，建立了径向基神经网络燃气负荷预测模型。结合实例，对分别采用最大最小、零均值规格化处理的预测结果进行了比较，后者的精度较高。
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| 关 键 词： | 燃气负荷预测 神经网络 规格化 |
Application of Data Normalization to Gas Load Forecasting |
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| LIANG Jin-feng,YANG Jun-jie,GAO Zhu. Application of Data Normalization to Gas Load Forecasting[J]. Gas & Heat, 2010, 30(11): 25-27 |
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| Authors: | LIANG Jin-feng YANG Jun-jie GAO Zhu |
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| Affiliation: | LIANG Jin-feng, YANG Jun-jie, GAO Zhu |
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| Abstract: | The normalized treatment method in gas load forecasting is discussed, and a model for forecasting gas load based on radial basis function neural network is established. Combined with an example, the forecasting results using the maximum, minimum and zero average normalization are compared, and the latter has higher precision. |
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| Keywords: | gas load forecasting neural network normalization |
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