EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 441 (2023) E3S Web Conf., 441 (2023) 02003 References
Open Access
Issue
E3S Web Conf.
Volume 441, 2023
2023 International Conference on Clean Energy and Low Carbon Technologies (CELCT 2023)
Article Number 02003
Number of page(s) 4
Section Pollution Control and Low-Carbon Energy Saving Development
DOI https://doi.org/10.1051/e3sconf/202344102003
Published online 07 November 2023
  1. Wang Meibao. Study on Comprehensive Value Evaluation and Utilization Strategy for Power Demand-Side Resources [D]. North China Electric Power University (Beijing), 2020. DOI: 10.27140/d.cnki.ghbbu.2020.000286. [Google Scholar]
  2. Wang Beibei et al. Analysis and Enlightenment of Renewable Energy and Demand Response Participating in UK and US Capacity Markets Considering Capacity Credibility [J]. Power System Technology, 2022, 46(04):1233–1247. DOI: 10.13335/j.1000-3673.pst.2021.1704. [Google Scholar]
  3. Burke, Paul J., and Ashani Abayasekara. “The price elasticity of electricity demand in the United States: A three-dimensional analysis.” The Energy Journal 39.2 (2018). [CrossRef] [Google Scholar]
  4. Xiao Yong, Wang Yan, He Hengjing, Wu Haowen, Jian Ganyang, Zhao Bo, Gao Ciwei. Avoidable Cost Model Study in Power Demand Side Management [J]. Power Demand Side Management, 2020, 22(04): 56–61. [Google Scholar]
  5. Li Jianlin, Cui Yilin, Ma Suliang, Wu Yiwen, Jiang Yerong, Xin Dixi. Operation Mode Optimization and Economic Benefit Analysis of Demand-Side Shared Energy Storage [J/OL]. Power System Technology: 1–18 [2022-09-29]. DOI: 10.13335/j.1000-3673.pst.2022.1218. [Google Scholar]
  6. Feng Xiaofeng, Xie Tiankuo, Gao Ciwei, Lin Guoying, Chen Liang, Lu Shixiang. A. Demand Side Response Strategy Considering Long-Term Revenue of Electricity Retailers in the Electricity Spot Market [J]. Power System Technology, 2019, 43(08): 2761–2769. DOI: 10.13335/j.1000-3673.pst.2019.0651. [Google Scholar]
  7. Sun Weiqin, Zheng Yuqi, Xue Guiting. Design and Effect Analysis of Demand Response Transaction Mechanism Considering Response Rate Difference [J]. Automation of Electric Power Systems, 2021, 45(22): 83–94. [Google Scholar]
  8. Qi Bing, Zheng Shunlin, Sun Yi, Li Bin, Tian Shiming, Shi Kun. A. Model of Incentive-Based Integrated Demand Response Considering Dynamic Characteristics and Multi-Energy Coupling Effect of Demand Side [J]. Proceedings of the CSEE, 2022, 42(05): 1783–1799. DOI: 10.13334/j.0258-8013.pcsee.202351. [Google Scholar]
  9. C. Eksin, H. Deliç and A. Ribeiro. Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences [J]. IEEE Transactions on Smart Grid, 2015, 6(06): 3082–3094. [CrossRef] [Google Scholar]
  10. I. Schneider, M. Roozbehani and M. Dahleh. An Online Learning Framework for Targeting Demand Response Customers[J]. IEEE Transactions on Smart Grid, 2022, 13(01): 293–301. [CrossRef] [Google Scholar]
  11. M. A. Khan, A. M. Saleh, M. Waseem and I. A. Sajjad. Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment. IEEE Access, 2023, 11:1477–1505. DOI: 10.1109/ACCESS.2022.3231444. [CrossRef] [Google Scholar]
  12. D. Muthirayan, D. Kalathil, K. Poolla and P. Varaiya. Mechanism Design for Demand Response Programs[J]. IEEE Transactions on Smart Grid, 2020, 11(01):61–73. DOI: 10.1109/TSG.2019.2917396. [CrossRef] [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.