| 钢铁企业能耗预测系统的设计 |
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| 引用本文： | 张全,刘渺,凌振华,高敏.钢铁企业能耗预测系统的设计[J].冶金动力,2006(2):67-68. |
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| 作者姓名： | 张全 刘渺 凌振华 高敏 |
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| 作者单位： | 中南大学能源与动力工程学院,湖南,长沙,410083 |
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| 摘 要： | 基于湘钢历年每月总能耗数据,运用BP神经网络算法建立数学模型,用M ATLAB作为后台数据处理工具,用VB与M ATLAB的混合编程开发了钢铁企业能耗预测系统。预测值与实际能耗量的相对误差很小:最大相对误差为3.016%,最小相对误差仅为0.084%,平均相对误差为1.336%,系统具有较好的预测效果。
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| 关 键 词： | 神经网络 MATLAB 能耗 预测 系统 |
| 文章编号： | 1006-6764(2006)02-0067-02 |
| 修稿时间： | 2005年10月21 |
Design of Energy Consumption Prediction System of Iron and Steel Enterprises |
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| ZHANG Quan,LIU Miao,LING Zhen-hua,GAO Min.Design of Energy Consumption Prediction System of Iron and Steel Enterprises[J].Metallurgical Power,2006(2):67-68. |
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| Authors: | ZHANG Quan LIU Miao LING Zhen-hua GAO Min |
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| Abstract: | Based on the monthly energy consumption data of Xiangtan Iron & Steel Co.over the years,a mathematic model is established by the BP neural network algorithm,and MATLAB is used as the tool of background data processing.The prediction system of energy consumption of iron and steel enterprises is developed using VB and MATLAB.There is a small deviation between the predicted energy consumption amount and the practical energy consumption amount: the biggest is 3.016%;the smallest is 0.084%;and the average is 1.336%.The system has a good prediction effect. |
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| Keywords: | neural network MATLAB energy consumption prediction system |
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