Climate Change Data Portal
DOI | 10.1061/(ASCE)WR.1943-5452.0000318 |
Modeling Automatic Meter Reading Water Demands as Nonhomogeneous Point Processes | |
Arandia-Perez, Ernesto1; Uber, James G.1; Boccelli, Dominic L.1; Janke, Robert2; Hartman, David3; Lee, Yeongho4 | |
发表日期 | 2014 |
ISSN | 0733-9496 |
卷号 | 140期号:1页码:55-64 |
英文摘要 | In this paper, an overview of a strategy for automatic meter reading (AMR) data interpretation and aggregation is presented along with the proposed stochastic models adequate for representing the intrinsic characteristics of the data. Water demand measurements from single user accounts are obtained from an AMR system that continuously monitors consumption in different zones of Cincinnati, Ohio. The data represent volumetric measurements characterized by fixed increments, which depend on the sensitivity of the instruments used and occur at irregular times due to the polling method of the AMR system. Given the nature of the data, a nonhomogeneous Poisson process is proposed to model the arrivals of the increments within a selected time interval of 350days. An exponential-polynomial-trigonometric rate function with multiple periodicities (EPTMP) is assumed to describe both trends and periodicities in the observed data. A specific methodology for estimating the parameters of the EPTMP rate function is presented, based on the method of maximum likelihood. In order to evaluate the estimation technique, a performance evaluation is carried out on synthetic data generated in simulation. Finally, the estimation method is applied and tested on samples of the complete AMR data set, which is obtained from aggregating randomly selected subsets of different magnitude. The results provide significant evidence of the numerical stability and accuracy of the modeling procedure and encourage the use in simulation and prediction of water demands at network nodes from available AMR data. |
英文关键词 | Water demand;Stochastic models;Simulation;Ohio;Automatic meter reading;Water demands;Nonhomogeneous Poisson process |
语种 | 英语 |
WOS记录号 | WOS:000333453500007 |
来源期刊 | JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT |
来源机构 | 美国环保署 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/58070 |
作者单位 | 1.Univ Cincinnati, Environm Engn Program, SEEBME, Cincinnati, OH 45221 USA; 2.US EPA, Cincinnati, OH 45268 USA; 3.Greater Cincinnati Water Works, Cincinnati, OH 45228 USA; 4.Greater Cincinnati Water Works, Cincinnati, OH 45228 USA |
推荐引用方式 GB/T 7714 | Arandia-Perez, Ernesto,Uber, James G.,Boccelli, Dominic L.,et al. Modeling Automatic Meter Reading Water Demands as Nonhomogeneous Point Processes[J]. 美国环保署,2014,140(1):55-64. |
APA | Arandia-Perez, Ernesto,Uber, James G.,Boccelli, Dominic L.,Janke, Robert,Hartman, David,&Lee, Yeongho.(2014).Modeling Automatic Meter Reading Water Demands as Nonhomogeneous Point Processes.JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT,140(1),55-64. |
MLA | Arandia-Perez, Ernesto,et al."Modeling Automatic Meter Reading Water Demands as Nonhomogeneous Point Processes".JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT 140.1(2014):55-64. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。