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| 优化动态递归小波神经网络短期负荷预测模型 | |
| 引用本文： | 张智晟,段晓燕,李伟婕,龚文杰,孙雅明.优化动态递归小波神经网络短期负荷预测模型[J].电力系统及其自动化学报,2009,21(5). |
| 作者姓名： | 张智晟 段晓燕 李伟婕 龚文杰 孙雅明 |
| 作者单位： | 1. 青岛大学自动化工程学院,青岛,266071 2. 青岛供电公司,青岛,266002 3. 天津大学电气与自动化工程学院,天津,300072 |
| 基金项目： | 山东省教育厅科技计划项目，青岛大学引进人才科研基金项目 |
| 摘 要： | 提出了优化动态递归小波神经网络(dynamic recurrent wavelet neural network,DRWNN)短期负荷预测模型.与常规小波神经网络相比,DRWNN有两个关联层,关联层节点起存储网络内部状态的作用;模型构造过程中增强了网络的前馈与反馈联接,形成多层次的网络递归.采用分布估计算法和遗传算法相融合对DRWNN进行优化,融合实质是在解空间"宏观"和"微观"两个层面进行寻优,可克服DRWNN陷入局部最小,提高DRWNN的泛化能力.对两类不同负荷系统日、周预测仿真测试,验证了模型能有效提高预测精度. |
| 关 键 词： | 短期负荷预测 动态递归小波神经网络 分布估计算法 遗传算法 |
Short-term Load Forecasting Model Based on Optimized Dynamic Recurrent Wavelet Neural Network |
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| ZHANG Zhi-sheng,DUAN Xiao-yan,LI Wei-jie,GONG Wen-jie,SUN Ya-ming.Short-term Load Forecasting Model Based on Optimized Dynamic Recurrent Wavelet Neural Network[J].Proceedings of the CSU-EPSA,2009,21(5). | |
| Authors: | ZHANG Zhi-sheng DUAN Xiao-yan LI Wei-jie GONG Wen-jie SUN Ya-ming |
| Affiliation: | ZHANG Zhi-sheng 1,DUAN Xiao-yan 2,LI Wei-jie 2,GONG Wen-jie 2,SUN Ya-ming 3 (1.School of Automation Engineering,Qingdao University,Qingdao 266071,China,2.Qingdao Electric Power Company,Qingdao 266002,3.School of Electrical Engineering , Automation,Tianjin University,Tianjin 300072,China) |
| Abstract: | An optimized DRWNN(dynamic recurrent wavelet neural network) model for STLF(short-term load forecasting) is constructed in this paper.Compared with conventional wavelet neural network,DRWNN owns two context layers,nodes of which can save internal state of network;The feed-forward connection and feedback connection are increased,which forms recursion from multi-level.The DRWNN is optimized by the combining estimation of distribution algorithm with genetic algorithm,essence of which is searching the optimal s... |
| Keywords: | short-term load forecasting(STLF) dynamic recurrent wavelet neural network(DRWNN) estimation of distribution algorithm(EDA) genetic algorithm(GA) |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |