IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 34th Congress - Brisbane (2011) : THEME 4: Responding to Shifting Water Resources : Application of dynamic time warping algorithm in prototype selection for the disaggregation of domes...
Application of dynamic time warping algorithm in prototype selection for the disaggregation of domestic water flow data into end use events
Author : K.A. Nguyen, H. Zhang, R.A. Stewart
The disaggregation of domestic water consumption flow-trace data into end use event categories still remains a complex challenge to be resolved in the field of urban water management. Domestic end use studies currently utilise software and analyst experience to disaggregate flow data into end use events (e.g. faucet, dishwasher, toilet, etc.),which often requires in excess of two hours per home to disaggregate two weeks of flow data. An existing available database of end use events for over 200 households located in South-east Queensland (SEQ), Australia was utilised for the purpose of this study, which ultimately aims to automate the trace analysis process. One of the first research issues to be addressed in this research was to develop a prototype that encapsulates the wide variation in pattern characteristics for each end use event, in order to reduce unnecessary computation and memory resource required to analyse the entire end use database. To achieve this aim, the study employed the Dynamic Time Warping algorithm. The outcome of this practice is a series of prototypes representing the predominant domestic water end use events in a household (e.g. shower, clothes washer, etc.). Future work will employ the prototypes in an artificial network model to automate the end use disaggregation process. Moreover, validation of its accuracy will be examined through predicting end uses for a new sample of smart metered households.
File Size : 263,677 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 34th Congress - Brisbane (2011)
Article : THEME 4: Responding to Shifting Water Resources
Date Published : 01/07/2011
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