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, environment, and transportation categories.A hyperp