Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method
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DOI: 10.1016/j.energy.2021.120194
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Cited by:
- Tang, Wenjun & Wang, Hao & Lee, Xian-Long & Yang, Hong-Tzer, 2022. "Machine learning approach to uncovering residential energy consumption patterns based on socioeconomic and smart meter data," Energy, Elsevier, vol. 240(C).
- Fan, Jingjing & Wang, Jianliang & Liu, Mingming & Sun, Wangmin & Lan, Zhixuan, 2022. "Scenario simulations of China's natural gas consumption under the dual-carbon target," Energy, Elsevier, vol. 252(C).
- Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
- Pang, Qinghua & Dong, Xianwei & Zhang, Lina & Chiu, Yung-ho, 2023. "Drivers and key pathways of the household energy consumption in the Yangtze river economic belt," Energy, Elsevier, vol. 262(PA).
- Sima, Catalina Alexandra & Roscia, Mariacristina & Dancu, Vasile Sebastian, 2022. "Social behavior analysis for improving the positive energy transition," Renewable Energy, Elsevier, vol. 196(C), pages 1325-1344.
- Yousaf Raza, Muhammad & Lin, Boqiang, 2023. "Development trend of Pakistan's natural gas consumption: A sectorial decomposition analysis," Energy, Elsevier, vol. 278(PA).
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Keywords
Household gas consumption bill; Door-to-door surveys; Consumption pattern; Increasing block tariffs policy; Temperature;All these keywords.
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