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改进单指数平滑法预测某市日用水量

IMPROVED SINGLE-EXPONENT SMOOTHNESS METHOD FOR PREDICTION OF URBAN DAILY WATER DEMAND IN SOME CITY
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摘要 为实现供水管网经济、可靠、科学的优化调配用水量,给出一种基于改进单指数平滑预测方法,该预测方法引进"追踪信号"来反应时间序列的变化,通过重新修正平滑常数a以建立改进单指数预测模型。以东北某城市日用水量为原始数据进行了实际预测,模型精度检验的结果满足Y市用水量要求,该预测模型应用于Y市的日用水量预测,为Y市供水优化调配提供有效依据。 To economically, reliably and scientifically implement optimal operation of water de- mand, the improved single-exponent smoothness method was presented based on tracking signal to reflect the changes in time series. By re-fix the smoothing constant a to establish the improved single-exponent smoothness predictive models. The model is applied to a practical project in a city of north east for daily water demands forecasting by checking up the precision, the model is proved to be feasible and effec- tive. Application of this high-precision method to the urban daily water demand and forecast of Y city shows that it is an effective warranty for the city' s water optimal arrangement.
出处 《低温建筑技术》 2013年第6期141-142,共2页 Low Temperature Architecture Technology
基金 黑龙江省教育厅科研资助项目(12511440)
关键词 供水管网 优化调配 用水量预测 water supply networks optimal operation water demand forecast
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  • 1曹萍.城市年用水量的马尔可夫过程仿真预测[J].西安科技学院学报,2001,21(4):333-336. 被引量:6
  • 2傅金祥,朱志锋,马兴冠,由昆,刘畅,周伟伟.灰色递补模型在城市需水量预测中的应用[J].沈阳建筑大学学报(自然科学版),2007,23(4):631-634. 被引量:4
  • 3KLEINER Y, ADAMS B J, ROGERS J S. Water distribution network renewal planning [ J ]. J Computing in Civil Engineering, 2001,15 ( 1 ) : 15 - 26.
  • 4FORTNER B. Climate change report predicts water supply challenges[J]. J Civil Engineering, 2001, 71 (2): 16 -21.
  • 5张洪国.大规模给水管网系统实用改扩建的研究[D].哈尔滨:哈尔滨建筑大学,1998.
  • 6邓聚龙.灰色预测与决策[M].武汉:华中理工大学出版社,1992.97-116.
  • 7Jain, Ashu, Ormsbee, et al. Short - term water demand forecast modeling techniques- conventional methods versus AI[J]. AWWA, 2002, 94(7) :64 - 72
  • 8Zhou S L, McMahon T A, Walton A, et al. Forecasting daily urban water demand: a case study of Melbourne [ J ]. Journal of Hydrology, 2000, 236 : 153 - 164.
  • 9Zhou S L, McMahon T A. Forecasting operational demand for an urban water supply zone [ J ]. Journal of Hydrology. 2002, 259.189 - 202.
  • 10Mordechai L. Forecasting hourly water demand of pattern approach[J]. Water Supply, 2003, 4(5): 168 - 172.

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