Understanding energy performance in drinking water treatment plants using the efficiency analysis tree approach
Alexandros Maziotis,
Maria Molinos-Senante
Abstract:Water treatment processes are known to consume substantial amounts of energy, making it crucial to understand their efficiency, drivers, and potential energy savings. In this study, we apply Efficiency Analysis Tree (EAT), which combines machine learning and linear programming techniques to assess the energy performance of 146 Chilean drinking water treatment plants (DWTPs) for 2020. Additionally, we utilize bootstrap regression techniques to examine the influence of operating characteristics on energy efficie… Show more
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