| 鞍山市燃气日负荷预测的研究 |
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| 引用本文： | 梁金凤,陈飞,马庆元,郭继平.鞍山市燃气日负荷预测的研究[J].煤气与热力,2006,26(10):16-19. |
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| 作者姓名： | 梁金凤 陈飞 马庆元 郭继平 |
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| 作者单位： | 1. 鞍山科技大学,土木交通工程学院,辽宁,鞍山,114044
2. 河北华新燃气工程技术开发有限公司,河北,廊坊,065000 |
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| 摘 要： | 结合鞍山市燃气日负荷预测,论述了历史燃气负荷数据的处理方法。运用GCAQBP神经网络对鞍山市2002年燃气日负荷进行了预测,预测的平均相对误差为4.1%。研究表明,这种预测方法可行。
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| 关 键 词： | 燃气日负荷预测 数据处理 GCAQBP神经网络 |
| 文章编号： | 1000-4416（2006）10-0016-04 |
| 收稿时间： | 2006-01-18 |
| 修稿时间： | 2006-01-182006-02-17 |
Study on Forecast of Daily Gas Load in Anshan City |
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| LIANG Jin-feng,CHEN Fei,MA Qing-yuan,GUO Ji-ping.Study on Forecast of Daily Gas Load in Anshan City[J].Gas & Heat,2006,26(10):16-19. |
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| Authors: | LIANG Jin-feng CHEN Fei MA Qing-yuan GUO Ji-ping |
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| Affiliation: | 1. School of Civil and Transportation Engineering, Anshan University of Science and Technology, Anshan 114044, China; 2. Hebei Huaxin Gas Engineering Technical Development Co., Ltd., Langfang 065000, China |
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| Abstract: | Based on the forecast of daily gas load in Anshan City,the method for processing history data of gas load is discussed.The daily gas load in 2002 in Anshan City is forecasted by GCAQBP neural network with average relative error of 4.1%.The study shows that this forecast method is feasible. |
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| Keywords: | forecast of daily gas load data processing GCAQBP neural network |
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