| 自适应模糊神经网络在用电预测中的应用 |
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| 引用本文： | 田丽,段争光,金礼力,张玉成.自适应模糊神经网络在用电预测中的应用[J].兵工自动化,2004,23(6):78-79. |
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| 作者姓名： | 田丽 段争光 金礼力 张玉成 |
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| 作者单位： | 安徽工程科技学院,电气工程系,安徽,芜湖,241000;安徽工程科技学院,电气工程系,安徽,芜湖,241000;安徽工程科技学院,电气工程系,安徽,芜湖,241000;安徽工程科技学院,电气工程系,安徽,芜湖,241000 |
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| 基金项目： | 横向科研合作项目(2004340301000002) |
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| 摘 要： | 电力三产用电量预测模型,基于自适应神经网络模糊推理系统(ANNFRS)原理及电力负荷的历史数据建立.该系统由7个隐含层数,5个隶属度函数组数据模型组成.网络使用Levenberg-Marquardt算法训练,每个局部映射参数采用线性最小二乘估计算法.仿真结果表明拟合误差的数量级为10-5,能满足负荷预测要求.
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| 关 键 词： | 预测模型 用电量 自适应神经网络(ANN) 模糊推理系统(FRS) |
| 文章编号： | 1006-1576(2004)06-0078-02 |
| 修稿时间： | 2004年5月10日 |
Application of ANNFRS in Predicting Electric Power Consumption |
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| TIAN Li,DUAN Zheng-guang,JIN Li-li,ZHANG Yu-cheng.Application of ANNFRS in Predicting Electric Power Consumption[J].Ordnance Industry Automation,2004,23(6):78-79. |
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| Authors: | TIAN Li DUAN Zheng-guang JIN Li-li ZHANG Yu-cheng |
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| Abstract: | In adaptive NN-based fuzzy reasoning system (ANNFRS), the predicting model of power consumption for electric three-industry was structured according to principle of the system and history data of electric load. It consists of 7 pieces of hidden layer and 5 pieces of data model with membership grade function array. The network learning was trained with Levenberg-Marquardt algorithm, every local mapping parameter was estimated with linear least squares solution algorithm. The simulation results show that the quantity level of error is 10-5, which can satisfy the demands of load forecast. |
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| Keywords: | Prediction model Power consumption Adaptive NN Fuzzy reasoning system |
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