Fig. 4: Influence of smart meter data frequency and level of engagement with the digital SmartH2O application on household behavior change patterns.
From: Long-term water conservation is fostered by smart meter-based feedback and digital user engagement
The coefficients of a logistic regression classifier weighting five normalized independent variables, i.e., smart meter hourly data frequency (binary variable for hourly vs. daily data), login count, non-rewarded action count, rewarded action count, and cumulative reward importance, are reported for three different tests. The first test (green line) classifies water savers against rebound or consumption increase households. The second test (orange line) classifies long-term water savers against short-term water savers. The third test (blue line) classifies water savers against rebound households. The different household clusters are characterized in Fig. 3. The shaded area around each line is defined by the standard deviation.
