| 文化微粒群神经网络在用电量预测中的应用 |
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| 引用本文： | 陈国初.文化微粒群神经网络在用电量预测中的应用[J].电力系统及其自动化学报,2011,23(2):31-37. |
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| 作者姓名： | 陈国初 |
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| 作者单位： | 上海电机学院电气学院; |
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| 基金项目： | 上海市教委科研创新重点项目(09ZZ211);上海市教委重点学科项目(J51901); 闵行区-上海电机学院区校合作项目(08Q07) |
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| 摘 要： | 为了提高传统神经网络在中长期用电量负荷预测中的速度和预测精度,将文化算法、微粒群算法融入神经网络中,设计了文化微粒神经网络模型;将该模型用于我国某地区中长期用电量预测建模,采用了滚动时间窗技术处理输入输出数据,进一步优化模型数据输入量.该方法综合了微粒群算法的全局寻优能力和文化算法的演化优势.通过与传统的灰色预测模型以...
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| 关 键 词： | 文化算法 微粒群算法 灰色理论 神经网络 滚动时间窗 中长期用电负荷预测 |
Application of Cultural Particle Swarm Optimization Neural Network in Electric Load Forecasting |
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| CHEN Guo-chu.Application of Cultural Particle Swarm Optimization Neural Network in Electric Load Forecasting[J].Proceedings of the CSU-EPSA,2011,23(2):31-37. |
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| Authors: | CHEN Guo-chu |
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| Affiliation: | CHEN Guo-chu(Electric Engineering School,Shanghai Dianji University,Shanghai 200240,China) |
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| Abstract: | In order to improve the speed and forecasting precision of traditional neural network(NN),a cultural particle swarm optimization neural network(CPSONN) was proposed by integrating culture algorithm(CA) and particle swarm optimization algorithm(PSO) into NN.The proposed model was used to construct a middle-long-term electricity load forecasting model in an area of China.To further optimize the model data input,a rolling time window technique is used to deal with input and output data at the same time.This me... |
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| Keywords: | cultural algorithm particle swarm optimization algorithm grey theory neural network sliding time window middle-long-term electric load forecasting |
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