| 基于模糊聚类和关节控制器神经网络的边际电价预测 |
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| 引用本文： | 刘吉来.基于模糊聚类和关节控制器神经网络的边际电价预测[J].电力科学与工程,2009,25(6). |
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| 作者姓名： | 刘吉来 |
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| 作者单位： | 浙江水利水电专科学校,浙江,杭州,310018 |
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| 基金项目： | 浙江省教育厅科学研究项目 |
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| 摘 要： | 应用基于模糊聚类和关节控制器神经网络的边际电价预测方法,精确预测边际电价,并有效克服BP等算法中负荷峰谷时段出现的预测误差大、结果不稳定的现象.通过计算实例进行边际电价预测,预测结果表明:方法输出稳定性好、计算速度快、预测精度较高.
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| 关 键 词： | 关节控制器 模糊聚类 电价预测 |
Marginal Price Forecasting Using FCM And CMAC Neural Network |
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| Liu Jilai.Marginal Price Forecasting Using FCM And CMAC Neural Network[J].Power Science and Engineering,2009,25(6). |
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| Authors: | Liu Jilai |
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| Affiliation: | Liu Jilai (Zhejiang Water Conservancy , Hydropower College,Hangzhou 310018,China) |
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| Abstract: | Electric energy price is the most sensitive economic signal in electric power market. To accurately forecast marginal price is important to quote price for power plant. Using the method based on CMAC neural network and FCM, accurately forecast marginal price can be forecasted. Then taking the data of Queensland electricity market for calculation example to forecast the short-term electricity price, the short-term electricity price forecasting was performed by CMAC neural network and FCM. The results showed ... |
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| Keywords: | Cerebellar Model Articulation Controller (CMAC) Fuzzy Clustered Model (FCM) electricity price forecasting |
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