%0 Journal Article
%T The Largest Lyapunov Exponent and the Maximum Predictable Time Scale of Hourly Series in Urban Water Consumption<br>时用水量观测序列的最大Lyapunov指数及其预测时间尺度
%A LIU Jing-qing
%A <br>柳景青
%J 系统工程理论与实践
%D 2004
%I 
%X Based on conventional Wolf's algorithm for largest Lyapunov exponent, an improved calculation method was put forward in which the search for new vector length and its evolution angle weights. The chaotic characteristics and maximum predictable time scale of the observed series of hourly water consumption in Hangzhou were discussed using the advanced algorithm. For comparison, the largest Lyapunov exponents of water consumption series of one-hour and 24-hour intervals were calculated respectively. The results indicate the followings: first, chaotic characteristic obviously exists in the hourly water consumption system; second, 24-hour interval series has the maximum predictable scale longer than hourly series. The above two properties have practical significance for better prediction of urban hourly water consumption.
%K hourly water consumption series
%K Largest Lyapunov exponent
%K chaotic
%K maximum predictable time scale<br>时用水量序列
%K 最大Lyapunov指数
%K 混沌
%K 最大预测尺度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=7737BD51B141EF67&yid=D0E58B75BFD8E51C&vid=B91E8C6D6FE990DB&iid=9CF7A0430CBB2DFD&sid=6270DC1B5693DDAF&eid=A63576421B012172&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=2&reference_num=10