The Model of Power System Short-Term Load Forecasting Based on Chaotic Theory

机译：基于混沌理论的电力系统短期负荷预测模型

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

A recurrence plot of a real grid load sequence, the largest Lyapunov exponent, the embedding dimension and other parameters of the calculation and analysis, and found to contain the chaotic nature. Return to the nearest neighbor of chaotic time series prediction method based on moving average, this method combines the moving average, the nearest neighbor method and the autoregressive prediction methods. First, using the moving average predictive value, and then fitting method based on the predictive value to predict. Improved methods and neural network prediction results show that the results of the model of load have better prediction accuracy has practical value.

机译：真正的网格载荷序列的复发曲线，最大的Lyapunov指数，嵌入维度和其他参数的计算和分析，发现包含混沌性质。返回基于移动平均线的混沌时间序列预测方法的最近邻居，该方法结合了移动平均值，最近的邻近方法和自回归预测方法。首先，使用移动的平均预测值，然后基于预测值预测的拟合方法。改进的方法和神经网络预测结果表明，负载模型的结果具有更好的预测精度具有实用价值。

著录项

来源
《International Conference on Electronics Information and Electrical Engineering》|2012年||共8页
会议地点
作者
ZU Zhe; BI Gui-hong; LIU Li;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 TM7-53;
关键词
Short-term power load forecast; Autoregressive moving average; Nearest neighbor; Chaos;

机译：短期电力负荷预测;自回归移动平均;最近的邻居;混乱;

相似文献

外文文献
中文文献
专利

1. A New Short-term Power Load Forecasting Model Based on Chaotic Time Series and SVM [J] . Dongxiao Niu, Yongli Wang, Chunming Duan, Journal of Universal Computer Science . 2009,第13期

机译：基于混沌时间序列和支持向量机的新型短期电力负荷预测模型
2. The analysis of the short-term power system load forecasting model based on the fuzzy clustering [J] . Grzegorz Dudek Operations Research Decisions . 2007,第2期

机译：基于模糊聚类的电力系统短期负荷预测模型分析
3. Chaos theory applied to input space representation of autonomous neural network-based short-term load forecasting models [J] . Federal University of Rio de Janeiro Rio de Janeiro, Ferreira Vitor Hugo, Fluminense Federal University Niterói, Journal of control, automation and electrical systems . 2011,第6期

机译：混沌理论在基于自主神经网络的短期负荷预测模型的输入空间表示中的应用
4. The Model of Power System Short-Term Load Forecasting Based on Chaotic Theory [C] . ZU Zhe, BI Gui-hong, LIU Li International Conference on Electronics Information and Electrical Engineering . 2012

机译：基于混沌理论的电力系统短期负荷预测模型
5. Neural network approaches to power system short-term load forecasting. [D] . Peng, Tiemao. 1991

机译：神经网络方法用于电力系统短期负荷预测。
6. Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks [O] . Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan, -1

机译：具有长短期记忆网络的高维混沌系统的数据驱动预测
7. A model for short-term load forecasting in power system based on multi-AI methods [O] . 张群洪 2013

机译：基于多人工智能方法的电力系统短期负荷预测模型

The Model of Power System Short-Term Load Forecasting Based on Chaotic Theory

摘要

著录项

相似文献

相关主题

期刊订阅