| 短期电力负荷的混沌预测及其神经网络的实现 |
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| 引用本文： | 乐晓波,匡迎春,唐贤瑛.短期电力负荷的混沌预测及其神经网络的实现[J].长沙理工大学学报(自然科学版),2005,2(1):44-48. |
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| 作者姓名： | 乐晓波 匡迎春 唐贤瑛 |
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| 作者单位： | 长沙理工大学,计算机与通信学院,湖南,长沙,410007;长沙理工大学,计算机与通信学院,湖南,长沙,410007;长沙理工大学,计算机与通信学院,湖南,长沙,410007 |
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| 摘 要： | 短期电力负荷预测是工程技术人员安排电力调度的重要依据．研究了利用混沌理论与RBF神经网络相结合实现短期电力负荷预测的方法．并用该方法预测湖南某地区的月负荷，预测的数据准确率较好，为短期电力负荷预测提供了一条新的途径．
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| 关 键 词： | 混沌时间序列 负荷预测 RBF神经网络 |
| 文章编号： | 1672-9331(2005)01-0044-05 |
| 修稿时间： | 2004年11月22 |
The Chaos Forecast of Short-term Power Load and Its Realization through Neurel Networks |
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| LE Xiao-bo,KUANG Ying-chun,TANG Xian-ying.The Chaos Forecast of Short-term Power Load and Its Realization through Neurel Networks[J].Journal of Changsha University of Science and Technology:Natural Science,2005,2(1):44-48. |
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| Authors: | LE Xiao-bo KUANG Ying-chun TANG Xian-ying |
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| Abstract: | The short-term load forecasting is an important work as well as the basis for the engineer to distribute the power load. In this paper we discuss a new approach combining chaos theory and RBF neural networks to forecast the short-term power load.Applying it in the month-load forecasting of some area in Hunan,the result is satisfactory. |
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| Keywords: | chaos time array load forecasting RBF neural networks |
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