Revealing the Driving Factors of Household Energy Consumption in High-Density Residential Areas of Beijing Based on Explainable Machine Learning

This study explores the driving factors of household energy consumption in high-density residential areas of Beijing and proposes targeted energy-saving strategies. Data were collected through field surveys, questionnaires, and interviews, covering 16 influencing factors across household, building,...

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Bibliographic Details
Main Authors: Zizhuo Qi, Lu Zhang, Xin Yang, Yanxia Zhao
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/7/1205
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