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Electricity Price Forecasting Based on the Neural Network
Author(s): 
Pages: 35-40
Year: Issue:  6
Journal: Electric Switcher

Keyword:  神经网络模糊理论电价预测MATLAB;
Abstract: 以美国加州电力市场为背景,在分析了市场清算电价(MCP)的影响因素的基础上,采用了一种基于反向传播(BP)网络预测下一日市场清算电价的方法.该方法考虑了系统供求关系、历史负荷、历史电价等对未来时段电价的影响,建立了一个单隐层的神经网络结构.预测模型融合了模糊理论,利用隶属函数对温度(最高温度、平均温度、最低温度)进行了模糊处理,将这些因素作为神经网络的输入量.在负荷高峰时段,往往存在市场外机组的调...
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