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基于混沌时间序列模型的用水量预测
The Prediction of Water Consumption Based on Chaos Time-Sequence
【摘要】 城市用水量预测在供水系统的调度决策管理中具有重要作用。通过对用水量的分析,发现了城市用水量具有混沌特性,并提出一种基于混沌时间序列模型的用水量预测方法。实验表明,预测误差率小于1.31%,能对供水调度决策提供有力支持。
【Abstract】 The prediction of urban water supply is a very important part in the decision-making system.The authors find that urban water consumption is chaotic by analyzing the data achieved from respective network.And the authors put forward a method for predicting the water consumption based on the model of the chaos time-sequence,the experiments show that the error is less than 1.31%.It can give much help to the decision-making system.
【关键词】 城市供水;
用水量预测;
混沌时间序列;
【Key words】 urban water supply industry; forecast of water consumption; chaos time-sequence;
【Key words】 urban water supply industry; forecast of water consumption; chaos time-sequence;
- 【文献出处】 浙江理工大学学报 ,Journal of Zhejiang Sci-Tech University , 编辑部邮箱 ,2010年04期
- 【分类号】TU991.31
- 【被引频次】7
- 【下载频次】177