| 基于BP神经网络的下一交易日出清电价预测 |
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| 引用本文： | 张明光,李艳.基于BP神经网络的下一交易日出清电价预测[J].电力系统保护与控制,2009,37(5):18-21. |
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| 作者姓名： | 张明光 李艳 |
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| 作者单位： | 兰州理工大学电气工程与信息工程学院，甘肃 兰州 730050 |
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| 摘 要： | 利用历史负荷和清算电价对未来时段出清电价采用3层BP神经网络模型进行预测, 将出清电价看成一个多输入单输出系统。把一天中每个小时按输入影响大小分成五类，然后采用BP网络分别建模预测。并采用美国New England电力市场2002年的电价数据进行了训练和预测分析,最终得到比较理想的出清电价预测结果。
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| 关 键 词： | 电力市场 出清电价 BP神经网络 |
Method for forecasting next-day market clearing prices based on BP neural network |
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| ZHANG Ming-guang,LI Yan.Method for forecasting next-day market clearing prices based on BP neural network[J].Power System Protection and Control,2009,37(5):18-21. |
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| Authors: | ZHANG Ming-guang LI Yan |
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| Affiliation: | College of Electrical and Information Engineering;Lanzhou University of Technology;Lanzhou 730050;China |
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| Abstract: | Forecasting the market clearing price (MCP) is the most essential task and the basis for any decision-making. The paper is to use the the historical load and price to forecast the future price. The structure of the neural network is a three-layer back-propagation(BP)network.The MCP was considered as a multi-input and single-output system. Every hour in one day is divided 5 types according to input's influence,Then,it establishes model and forecasts using BP network.The historical loads and prices of 2002 in... |
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| Keywords: | electric power markets market clearing price BP artificial neural network |
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