| 用遗传算法拟合电力系统负荷短期预测的非线性模型 |
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| 引用本文： | 蔡煜东.用遗传算法拟合电力系统负荷短期预测的非线性模型[J].数理统计与管理,1995,14(2):23-25,37. |
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| 作者姓名： | 蔡煜东 |
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| 作者单位： | 上海冶金研究所 |
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| 摘 要： | 本文运用遗传算法，根据河北省１９８５—１９９０年春节期间每小时用电量的统计数字，建立了非线性回归模型（Ｇｏｍｐｅｒｔｄｚ），结果表明，遗传算法性能良好，可望成为电力系统各种非线性模型辨识的有效手段。
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| 关 键 词： | 电力系统负荷，遗传算法，短期预测 |
The Application of Genetic Algorithm in Fitting the Nonlinear Model of Short-term Load Predition on Electric System |
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| Cai Yudong.The Application of Genetic Algorithm in Fitting the Nonlinear Model of Short-term Load Predition on Electric System[J].Application of Statistics and Management,1995,14(2):23-25,37. |
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| Authors: | Cai Yudong |
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| Abstract: | Genetic algorithm is used to construct a nonlinear model (Gompertdz) according to the statistics of hourly electricity comsumption in Hebei Province during the spring festivals in 1985-1990, which shows that it operates well and is expected to become an effective tool to the definition of various nonlinear models in electrical system. |
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| Keywords: | Load on Electric System Genetic Algorithm Short-term Prediction |
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