| 应用模糊神经网络进行负荷预测的研究 |
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| 引用本文： | 张昊,吴捷,郁滨.应用模糊神经网络进行负荷预测的研究[J].自动化学报,1999,25(1):60-67. |
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| 作者姓名： | 张昊 吴捷 郁滨 |
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| 作者单位： | 1.广东省科学院自动化工程研制中心,广州; |
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| 基金项目： | 广东省攻关项目,广东省科学院院长青年基金 |
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| 摘 要： | 应用模糊神经网络实现的预测系统通过对历史数据的自适应学习获得初始的模糊
预测模型,借助等价结构的ANN基于实时数据的梯度信息对系统参数进行BP训练,具有较
强的适应性和自学习能力.以电力短期负荷预测(STLF)为应用背景,进行了系统化的实验研
究,结果表明这一智能化的预测系统的性能是令人满意的.
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| 关 键 词： | 模糊神经网络 短期负荷预测 经济预测 函数逼近 |
| 收稿时间： | 1997-7-18 |
APPLYING FUZZY NEURAL NETWORK TO LOAD FORECAST |
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| ZHANG Hao,WU Jie,YU Bin.APPLYING FUZZY NEURAL NETWORK TO LOAD FORECAST[J].Acta Automatica Sinica,1999,25(1):60-67. |
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| Authors: | ZHANG Hao WU Jie YU Bin |
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| Affiliation: | 1.Automation Engineering R&M Center,Guangdong Academy of Sciences,Guangzhou;Electric Power College,Dept.of Control Engineering,South China University of Technology,Guangzhou |
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| Abstract: | The accomplished forecasting system can achieve an initial fuzzy forecasting model by means of adaptive learning from historical data,and can train its parameters by BP algorithm of ANN of equivalent structure based on gradient information of real time data.Thus,the system possesses distinguished adaptive feature and self learning capability.Taking electric power load forecasting as application background,we put forward a series of experiment research.Experiment results demonstrate satisfactory performances of the intelligent forecasting system. |
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| Keywords: | Fuzzy neural networks short term load forecasting economic forecasting function approximation |
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