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,...
Saved in:
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Photovoltaic Application Design for Non-Residential Areas in Existing High-Density Residential Areas in Chengdu, Sichuan Province, China
by: Wen Zhang, et al.
Published: (2025-07-01) -
Residential Density and Illegal Waste Dumping In Cities
by: Mahamba C, et al.
Published: (2023) -
Assessing the Level of Consumption by Children in Households
by: K. V. Kuznetsov
Published: (2023-09-01) -
Assessing the Impact of Inflation on Household Consumption in Kisoro District: A Case Study of Ny Akabande Subcounty
by: Nzabanita, Alikanjero
Published: (2022) -
Estimation of the Impact of the Age Difference in Households of the Same Generation on the Age Level of Consumption
by: K. V. Kuznetsov
Published: (2023-03-01)