Open Access
| Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 4 | |
| Section | Research on Energy Consumption and Energy Industry Benefit | |
| DOI | https://doi.org/10.1051/e3sconf/202125702013 | |
| Published online | 12 May 2021 | |
- Yu Y. Editorial for the Special Issue on Smart Grid and Energy Internet. Editorial for the Special Issue on Smart Grid and Energy Internet. Engineering 6 7 (2020). [Google Scholar]
- Huang Renle, Pu Tianjiao, Liu Kewen, et al. Design of hierarchy and functions of regional energy Internet and its demonstration applications. J. Automation of Electric Power Systems 39 9 (2015). [Google Scholar]
- From smart grid to energy Internet: Basic concept and research framework. J. Dianli Xitong Zidonghua/Automation of Electric Power Systems 8 15 (2014). [Google Scholar]
- Tian S, Luan W, D Zhang, et al. Technical forms and key technologies on energy Internet. J. Zhongguo Dianji Gongcheng Xuebao/ proceedings of the Chinese Society of Electrical Engineering 35 14 (2015). [Google Scholar]
- Sun Q, Wang B, Huang B, et al. The Optimization Control and Implementation for the Special Energy Internet. J. Proceedings of the Csee (2015). [Google Scholar]
- Wang W, Wang D, Jia H, et al. Review of Steadystate Analysis of Typical Regional Integrated Energy System Under the Background of Energy Internet. J. Proceedings of the Csee 36 12 (2016). [Google Scholar]
- Hua, Haochen, Hao, et al. A Class of Control Strategies for Energy Internet Considering System Robustness and Operation Cost Optimization. J. Energies (2018). [Google Scholar]
- Xue Jingjing, Shi Jun, Shen Lei, et al. A research on the regional energy supply security of China. J. China Soft Science 1 (2015). [Google Scholar]
- Guang Bin, Wang Yong, Yang Xinhai, Huang Yaozhi. College of Resources and Environment Science, Univirersity E C N, et al. Study on Optimal Allocation of Energy in Small Towns. J. China Population, Resources and Environment (2005). [Google Scholar]
- Chen Z, Hu H, Wu Y, et al. Stochastic model predictive control for energy management of powersplit plug-in hybrid electric vehicles based on reinforcement learning. J. Energy 21 (2020). [Google Scholar]
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