| 基于混沌理论的电力短期负荷预测 |
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| 引用本文： | 姚永刚,张亚华. 基于混沌理论的电力短期负荷预测[J]. 华东电力, 2007, 35(5): 7-10 |
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| 作者姓名： | 姚永刚 张亚华 |
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| 作者单位： | 河南机电高等专科学校,河南新乡,453002;河南机电高等专科学校,河南新乡,453002 |
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| 摘 要： | 采用基于混沌算法的自适应预测模型进行电力系统短期负荷预测,通过进化算法建立一种自适应机制,使得网络能够根据学习和训练的结果优化非线性反馈项.算例表明,该算法具有很强的自适应能力和鲁棒性,预测精度高.
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| 关 键 词： | 短期负荷预测 神经网络 混沌 Lyapunov指数 |
| 文章编号： | 1001-9529(2007)05-0007-04 |
| 修稿时间： | 2007-01-22 |
Short-term load forecast based on chaos theory |
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| YAO Yong-gang,ZHANG Ya-hua. Short-term load forecast based on chaos theory[J]. East China Electric Power, 2007, 35(5): 7-10 |
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| Authors: | YAO Yong-gang ZHANG Ya-hua |
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| Abstract: | The self-adaptive forecast model based on chaos algorithm was used for short-term load forecast of power systems.A self-adaptability mechanism was constructed through evolution algorithm,and the network can consequent- ly optimize the nonlinear feedback term according to the results of learning and training.Calculation case shows that the algorithm which has strong self-adaptability and robustness is accurate in forcast, |
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| Keywords: | short-term load forecast neural network chaos Lyapunov exponent |
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