| 基于人工神经元网络及模型算法的空间负荷预测 |
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| 引用本文： | 吴斌 陈章潮. 基于人工神经元网络及模型算法的空间负荷预测[J]. 电网技术, 1999, 23(11): 1-4 |
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| 作者姓名： | 吴斌 陈章潮 |
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| 作者单位： | 上海交通大学电气工程系 |
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| 摘 要： | 改进了配电网的空间负荷预测方法，将其研究重点 放在对各类负荷的负荷密的预测上，在原始数据不充分的条件下，引入模糊隶属度分析和人工神经元网络中的聚类分析，对负荷进行分类和简化，从而得到环境因素相适应的负荷，预测取得了满意的效果。
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| 关 键 词： | 空间负荷预测 人工神经元网络 模糊算法 配电网 |
| 修稿时间： | 1999-05-06。 |
SPATIAL ELECTRIC LOAD FORECASTING BASED ON ARTIFICIAL NEURAL NETWORKS AND FUZZY ALGORITHM |
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| Wu Bin Chen Zhangchao Bao Hailong Shanghai Jiao Ting University Shanghai, China. SPATIAL ELECTRIC LOAD FORECASTING BASED ON ARTIFICIAL NEURAL NETWORKS AND FUZZY ALGORITHM[J]. Power System Technology, 1999, 23(11): 1-4 |
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| Authors: | Wu Bin Chen Zhangchao Bao Hailong Shanghai Jiao Ting University Shanghai China |
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| Affiliation: | Wu Bin Chen Zhangchao Bao Hailong Shanghai Jiao Ting University Shanghai,200030 China |
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| Abstract: | In this paper, the improvement of spatial load forecasting method of distribution networks is presented, and the forecasting of load density of various kinds of load is emphatically studied. Under the condition of insufficient data, classification in the artificial neural networks and fuzzy theory are used for the load classification and simplification, then compliance of the load to environmental factors can be obtained. The result of load forecasting calculation of a certain residential area shows this method is effective. |
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| Keywords: | spatial load forecasting artificial neural networks fuzzy |
| 本文献已被 CNKI 维普 等数据库收录！ |
