| 遗传神经网络优化预测方法研究及其应用 |
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| 引用本文： | 牛东晓,陈志业,邢棉,谢宏. 遗传神经网络优化预测方法研究及其应用[J]. 华北电力大学学报(自然科学版), 2001, 28(1): 1-5 |
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| 作者姓名： | 牛东晓 陈志业 邢棉 谢宏 |
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| 作者单位： | 华北电力大学经济管理系, |
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| 基金项目： | 国家自然科学基金资助项目!（50077007），国家电力公司重点学科建设资金资助项目!（A99B03）． |
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| 摘 要： | 根据短期电力负荷预测的特点，将遗传算法和人工神经网络相结合，提出一种负荷预测新算法─—遗传神经网络优化预测方法。该方法明显地提高了模型的优化能力，有效地克服了人工神经网络学习速度慢、存在局部极小点的固有缺陷。经实例验证，该方法能有效地提高预测精度和速度。
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| 关 键 词： | 遗传算法 神经网络 负荷预测 预测精度 |
| 文章编号： | 1007-2691(2001)01-0001-05 |
| 修稿时间： | 2000-04-13 |
Optimization of Forecasting Method Based on Genetic Neural Network and its Application |
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| NIU Dong-xiao,CHEN Zhi-ye,XING Mian,XIE Hong. Optimization of Forecasting Method Based on Genetic Neural Network and its Application[J]. Journal of North China Electric Power University, 2001, 28(1): 1-5 |
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| Authors: | NIU Dong-xiao CHEN Zhi-ye XING Mian XIE Hong |
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| Abstract: | According to the characteristics of the short-time power load forecasting, the authors propose a newload forecasting model based on the combination of genetic algorithm and neural network. The intrinsic defectsof artificial neural network, such as its slow learning speed and local minimum points, are overcome. It can beseen horn a case study that the proposed method can improve the accuracy and the speed of load forecasting effectively. |
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| Keywords: | genetic algorithm neural network load forecasting forecasting accuracy |
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