短期电力负荷预测的模糊神经网络方法

被引:8
作者
胡越黎
计慧杰
机构
[1] 上海大学机电工程与自动化学院
关键词
短期电力负荷预测; 模糊神经网络; 模糊逻辑;
D O I
暂无
中图分类号
TM715 [电力系统规划]; TP183 [人工神经网络与计算];
学科分类号
摘要
针对短期电力负荷的复杂性和不确定性,提出一种应用模糊神经网络的短期电力负荷预测模型。该模型具有神经网络的强有力学习能力。由于利用了模糊理论处理非线性问题的能力以及从海量数据中抽取相似性的功能,因而弱化了神经网络对样本的依赖性,增强了外推性,可在一定程度上减少学习时间,并充分考虑气温变化对负荷的影响。实验结果表明,该模型对短期负荷有较好的预测精度,具有实用价值。
引用
收藏
页码:79 / 83
页数:5
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