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| 基于支持向量机法的锅炉机组煤耗预测模型研究 |
| Prediction Model for Coal Consumption of Power Generating Unit base on Support Vector Machine |
| 投稿时间：2017-08-18 |
| DOI：10.16018/j.cnki.cn32-1650/n.201704007 |
| 中文关键词: 支持向量机 锅炉 数据分析 SVR |
| 英文关键词: support vector machine boiler data analysis SVR |
| 基金项目: |
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| 摘要点击次数: 3844 |
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| 中文摘要: |
| 为研究影响锅炉机组运行效率的因素，借助于支持向量机的SVR计算模型，选取高斯径向核函数为计算核函数，对机组能耗特性进行建模。根据建立的预测模型，分别选取四组数据，进行预测机组运行能耗对比分析，结果表明:稳定的数据样本，对于预测结果的精度有一定的影响；模型精度能满足机组能耗特性的研究要求；机组处于高负荷或满负荷时，机组供电耗煤量较低。 |
| 英文摘要: |
| There are many kinds of factors that has great impacts on the boiler efficiency, the relevant data is obtained by monitoring the influence factors. Based on SVM method, the model of relevant data are build. According to the predict model, the features of boiler can be accrurately analysis. And the coal consumption of the power supply can be predicted under different load conditions, the optimal operation condition of the boiler is also obtained. |
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