| 基于BP神经网络和遗传算法的年负荷预测与分析 |
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| 引用本文： | 李中亚,徐朝,袁旭峰. 基于BP神经网络和遗传算法的年负荷预测与分析[J]. 贵州电力技术, 2014, 0(2): 19-21 |
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| 作者姓名： | 李中亚 徐朝 袁旭峰 |
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| 作者单位： | [1]贵州大学,贵州贵阳550025 [2]遵义供电局,贵州遵义563000 |
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| 摘 要： | 建立BP（Back Propagation）神经网络与遗传算法相结合的电力负荷预测模型。在该模型中，利用遗传算法具有的全局寻优特点，将BP网络的初始权值优化到一个较小的范围，然后再用BP算法在该范围内继续优化，以便使优化算法既能实现全局最优求解，又能获得较快的求解速度。最后，通过仿真算例，与传统BP网络优化结果、及各种拟合方法获得结果进行比对，验证了计算方法的可行性和优越性。
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| 关 键 词： | BP神经网络 遗传算法 负荷预测 |
Year load prediction and analysis based on BP neural network and genetic algorithm |
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| Li Zhongya,Xu Chao,Yuan Xufeng. Year load prediction and analysis based on BP neural network and genetic algorithm[J]. Guizhou Electric Power Technology, 2014, 0(2): 19-21 |
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| Authors: | Li Zhongya Xu Chao Yuan Xufeng |
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| Affiliation: | 1 ( 1, Electrical Engineering College of Guizhou University, Guiyang 550025 Guizhou, China; 2, Zunyi Power Supply Bureau, , Zunyi 563000 Guizhou, China) |
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| Abstract: | The power load forecasting model based on BP neural network and genetic algorithm was established. In this model, using the characteristic of global optimization of GA optimized the initial weight value of BP network to a smaller range. Then, using BP arith- metic continued optimizing in the range in order to realize global optimum and better solving speed. Finally, by a simulation that compared with traditional BP network and various fitting methods, the feasibility and superiority of the computing method were verified. |
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| Keywords: | BP neural network genetic algorithms load prediction |
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