Using Existing Municipal Water Data to Support Conservation Efforts

[1]  Carol Howe,et al.  Managing water in the city of the future; strategic planning and science , 2009 .

[2]  R R Brown,et al.  Urban water management in cities: historical, current and future regimes. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[3]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[4]  F. González‐Gómez,et al.  Why Is Non-revenue Water So High in So Many Cities? , 2011 .

[5]  Pierre Mukheibir,et al.  Intelligent Metering for Urban Water: A Review , 2013 .

[6]  Rodney Anthony Stewart,et al.  A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption , 2013 .

[7]  Rebekah R. Brown,et al.  Delivering sustainable urban water management: a review of the hurdles we face. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[8]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[9]  V Grace Mitchell,et al.  Applying Integrated Urban Water Management Concepts: A Review of Australian Experience , 2006, Environmental management.

[10]  P. Gleick.  The changing water paradigm. A look at twenty-first century water resources development. , 2000 .

[11]  M. Flörke,et al.  Future long-term changes in global water resources driven by socio-economic and climatic changes , 2007 .

[12]  Pierre Mukheibir,et al.  Urban water conservation through customised water and end-use information , 2016 .

[13]  Rodney Anthony Stewart,et al.  Smart meter enabled water end-use demand data: platform for the enhanced infrastructure planning of contemporary urban water supply networks , 2015 .

[14]  Jeff Hughes,et al.  Mining water billing data to inform policy and communication strategies , 2011 .

[15]  Hong Zhang,et al.  An intelligent pattern recognition model to automate the categorisation of residential water end-use events , 2013, Environ. Model. Softw..

[16]  Tim D. Fletcher,et al.  Overview of guiding principles , 2007 .

[17]  R. Martínez-Espiñeira,et al.  Residential Water Demand in the Northwest of Spain , 2002 .

[18]  J G Timmerman,et al.  A methodology to bridge the water information gap. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.

[19]  Chuan Wang,et al.  Mining for Water: Using Billing Data to Characterize Residential Irrigation Demand , 2016 .

[20]  Rodney Anthony Stewart,et al.  Smart meter enabled disaggregation of urban peak water demand: precursor to effective urban water planning , 2013 .

[21]  Dorian Pyle,et al.  Data Preparation for Data Mining , 1999 .