| 引用本文: | 谢培元,游大海,曾次玲,杨朴.基于遗传算法优化BP网络的提前一天市场清算电价预测[J].电力自动化设备,2004,(3):53-56 |
| .Clearing price forecast for day-ahead market based on genetic-algorithm-optimized BP network[J].Electric Power Automation Equipment,2004,(3):53-56 |
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| 摘要: |
| 针对电力市场提前一天市场清算电价预测，考虑历史负荷和历史清算电价对未来时段电价的影响，分别采用BP神经网络和遗传算法优化BP网络的方法，建立了提前一天电力市场清算电价预测模型。并采用澳大利亚昆士兰州电力市场1998年的电价数据分别进行了训练和预测，对结果进行了比较分析。结果表明遗传算法优化BP网络模型具有良好的预测效果。 |
| 关键词: 提前一天市场 市场清算电价 神经网络 遗传算法 |
| DOI： |
| 分类号:TM73 F123.9 |
| 基金项目: |
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| Clearing price forecast for day-ahead market based on genetic-algorithm-optimized BP network |
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XIE Pei - yuan YOU Da - hai ZENG Ci - ling YANG Pu
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| Abstract: |
| The MCP(Market Clearing Price)forecast for day - ahead energy market considers the impact of the historical loads and MCPs on it,which applies BP neural network and genetic - algorithm - optimized neural network respectively to set MCP forecast models for day - ahead energy market.The historical loads and prices of Queensland energy market in1998are used for training and forecast testing.Preliminary results show that the neural network optimized by genetic algorithm is promising. |
| Key words: day - ahead market,market clearing price,neural network,genetic algorithm, |
