Enhancing the explanation of household water consumption through | ResearchBunny

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Abstract

This study investigates the water-energy nexus concept to improve the explanation of household water consumption. Using data from 1320 households in Beijing, China, the researchers employed OLS, Random Forest, and XGBoost models. Incorporating energy-related features significantly increased the coefficient of determination (R²) by an average of 34.0%, with XGBoost performing best. Energy-related features showed higher explanatory power than water-related features, highlighting the importance of considering the water-energy nexus in household water consumption models.

Publisher

npj Clean Water

Published On

Feb 12, 2024

Authors

Zonghan Li, Chunyan Wang, Yi Liu, Jiangshan Wang

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