4   Artículos

 
en línea
J. Scott Vitter and Michael Webber    
This study evaluated the potential for data from dedicated water sub-meters and circuit-level electricity gauges to support accurate water end-use disaggregation tools. A supervised learning algorithm was trained to categorize end-use events from an exis... ver más
Revista: Water    Formato: Electrónico

 
en línea
L. Pastor-Jabaloyes, F. J. Arregui and R. Cobacho    
Disaggregating residential water end use events through the available commercial tools needs a great investment in time to manually process smart metering data. Therefore, it is extremely difficult to achieve a homogenous and sufficiently large corpus of... ver más
Revista: Water    Formato: Electrónico

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