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基于人工免疫系统小波网络的电力市场出清价预测
The Immune Wavelet Network Model and Its Application to the Prediction of Market Clearing Price
【摘要】 市场出清价具有非线性和多时间尺度的特性,而小波网络具有多分辨和非线性逼近的功能。为此,采用人工免疫系统优化小波网络各个参数,用优化后的小波网络来描述市场出清价的变化规律并对次日市场出清价进行预测。研究结果表明,人工免疫系统小波网络预测精度较高,具有广阔的应用前景。
【Abstract】 The market clearing price(MCP) has the characters of nonlinear and multi-time scale,and wavelet network blends the merits of wavelet and network.The artificial immune system is presented to optimize the parameters of wavelet network which can describe the change rules of MCP and predict MCP of the next day.The results show that the wavelet network model increases the precision of predictions and its application in electric market is confirmed.
【关键词】 免疫算法;
小波分析;
人工神经网络;
小波网络;
市场出清价;
【Key words】 immune algorithm; wavelet analysis; artificial neural network; wavelet network model; MCP;
【Key words】 immune algorithm; wavelet analysis; artificial neural network; wavelet network model; MCP;
【基金】 国家自然科学基金资助项目(50538140)
- 【文献出处】 水力发电 ,Water Power , 编辑部邮箱 ,2006年01期
- 【分类号】F407.61
- 【被引频次】9
- 【下载频次】253