Open Access
| Issue |
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 6 | |
| Section | Research on Energy Planning and Management and Energy Economy Strategy | |
| DOI | https://doi.org/10.1051/e3sconf/202452004001 | |
| Published online | 03 May 2024 | |
- Zhao ZC , Liu Q.Y. (2019) China's energy strategy planning based on prediction of energy consumption, production and structure [J]. Resources & Industries. 21(6):1–8. http://www.resourcesindustries.net.cn. [Google Scholar]
- Wu D., Pu M.Y. (2024) Study on Relationship Between Energy Consumption and Economic Growth in Anhui Province[J]. Journal of Shijiazhuang University. 26(1):76–82. DOI: 10.13573/j.cnki.sjzxyxb.2024.01.020. [Google Scholar]
- Jiang G.H. (2008) Study on the Energy Consumption Factors and the Trends of Chongqing [D]. Chongqing University. [Google Scholar]
- Liu J. (2012) Empirical Study on Energy Consumption and Influencing Factors in Beijing [D]. Capital University of Economics and Business. [Google Scholar]
- Vaghefi A., Jafari MA, Zhu JM, et al.(2013) A Statistical Approach to Modeling and Forecast of the Building Energy Consumption[J]. Proceedings of the 2013 Industrial and Systems Engineering Research Conference. PP 2828–2845. [Google Scholar]
- Zhao J.H. (2014) Analysis of influential factors of energy consumption in China based on Principal Component Regression model[J]. China mining magazine. 23(1),44–49. [Google Scholar]
- Zhang G.Y. (2014) Energy consumption in Shanxi province and its influencing factors [D].North Central University. [Google Scholar]
- Li H. (2015) Analysis of Influencing Factors of Energy Consumption and Demand Forecast in Jiangxi Province [J]. Marketing Research. 8(23):45–47. doi: 10.13999/j.cnki.scyj.2015.08.023. [Google Scholar]
- Luo Z.P. (2019) Analysis of influencing factors of energy consumption in Beijing and short-term forecast [D]. Hebei University of Economics and Trade. [Google Scholar]
- Zhang L., Li YA, Wang C. (2020) Research on the Influencing Factors of Energy Consumption Based on Correlation Analysis and Regression Analysis [J], Research and Approach. 42(6):42–47. doi: 10.3969/j.issn.1003-2355.2020.06.008. [Google Scholar]
- Yuan JH, Liu ZH, Peng T.D. (2023) Potential Difficulties and Its Solution for Jiangxi ' s Energy Transformation Under the Goal of Carbon Neutrality[J]. LAOQUJIANSHE.(12):3–11 [Google Scholar]
- Yusri SA, Saiful M., Sri MS, et al. (2023)Factors influencing urban consumers on selecting electricity saving home appliances for managing energy consumption in Indonesia[J]. Cogent Engineering.2023.10(2):1075–1097. DOI: 10.1080/23311916.2023.2287299. [Google Scholar]
- Sachin K., Zairu N., Jagvinder S.,et al. (2022) Anuj Kumar. Sensor network driven novel hybrid model based on feature selection and SVR to predict indoor temperature for energy consumption optimization in smart buildings[J]. International Journal of System Assurance Engineering and Management.2022.13(6):3048–3061. DOI: 10.1007/S13198-022-01795-y [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.