Details of Research Outputs

TitleDeep Reinforcement Learning for Scenario based Robust Economic Dispatch Strategy in Internet of Energy
Author (Name in English or Pinyin)
Fang, D.1; Guan, X.2; Hu, B.3; Peng, Y.3; Chen, M.4; Hwang, K.5
Date Issued2020
Source PublicationIEEE Internet of Things Journal
ISSN23274662
DOI10.1109/JIOT.2020.3040294
Education discipline科技类
Published range国外学术期刊
References
[1] D. Koraki and K. Strunz, "Wind and solar power integration in electricity markets and distribution networks through service-centric virtual power plants," in Proc. IEEE Power Energy Soc. Gen. Meeting (PESGM), 2018, p. 1.
[2] X. Zheng, Z. Cai, and Y. Li, "Data linkage in smart Internet of Things systems: A consideration from a privacy perspective," IEEE Commun. Mag., vol. 56, no. 9, pp. 55-61, Sep. 2018.
[3] Z. Cai and X. Zheng, "A private and efficient mechanism for data uploading in smart cyber-physical systems," IEEE Trans. Netw. Sci. Eng., vol. 7, no. 2, pp. 766-775, Apr./Jun. 2020.
[4] Y. Liang, Z. Cai, J. Yu, Q. Han, and Y. Li, "Deep learning based inference of private information using embedded sensors in smart devices," IEEE Netw., vol. 32, no. 4, pp. 8-14, Jul./Aug. 2018.
[5] H. Ming, L. Xie, M. C. Campi, S. Garatti, and P. R. Kumar, "Scenariobased economic dispatch with uncertain demand response," IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1858-1868, Mar. 2019.
[6] G. Chen, C. Li, and Z. Dong, "Parallel and distributed computation for dynamical economic dispatch," IEEE Trans. Smart Grid, vol. 8, no. 2, pp. 1026-1027, Mar. 2017.
[7] C. Huang, D. Yue, J. Xie, Y. Li, and K. Wang, "Economic dispatch of power systems with virtual power plant based interval optimization method," CSEE J. Power Energy Syst., vol. 2, no. 1, pp. 74-80, Mar. 2016.
[8] C. Cao, J. Xie, D. Yue, J. Zhao, Y. Xiao, and L. Wang, "A distributed gradient algorithm based economic dispatch strategy for virtual power plant," in Proc. 35th Chin. Control Conf. (CCC), Chengdu, China, 2016, pp. 7826-7831.
[9] C. Wu, C. Cao, J. Xie, D. Yue, S. Xu, and J. Wang, "Economic dispatch of virtual power plant based on distributed primal-dual sub-gradient method," in Proc. 36th Chin. Control Conf. (CCC), Dalian, China, 2017, pp. 10517-10521.
[10] P. Li, Y. Liu, H. Xin, and X. Jiang, "A robust distributed economic dispatch strategy of virtual power plant under cyber-attacks," IEEE Trans. Ind. Informat., vol. 14, no. 10, pp. 4343-4352, Oct. 2018.
[11] Y. Zhang, X. Ai, J. Wen, J. Fang, and H. He, "Data-adaptive robust optimization method for the economic dispatch of active distribution networks," IEEE Trans. Smart Grid, vol. 10, no. 4, pp. 3791-3800, Jul. 2019.
[12] Y. Chen, Y. Wang, D. Kirschen, and B. Zhang, "Model-free renewable scenario generation using generative adversarial networks," IEEE Trans. Power Syst., vol. 33, no. 3, pp. 3265-3275, May 2018.
[13] I. Goodfellow et al., "Generative adversarial nets," in Proc. NIPS, Montreal, QC, Canada, Dec. 2014, pp. 2672-2680.
[14] R. Ge, C. Jin, and Y. Zheng, "No spurious local minima in nonconvex low rank problems: A unified geometric analysis," in Proc. 34th Int. Conf. Mach. Learn., 2017, pp. 1233-1242.
[15] A. Béguin, C. Nicolet, B. Kawkabani, and F. Avellan, "Virtual power plant with pumped storage power plant for renewable energy integration," in Proc. Int. Conf. Elect. Mach. (ICEM), Berlin, Germany, 2014, pp. 1736-1742.
[16] P. M. Naina, H. Rajamani, and K. S. Swarup, "Modeling and simulation of virtual power plant in energy management system applications," in Proc. 7th Int. Conf. Power Syst. (ICPS), Pune, India, 2017, pp. 392-397.
[17] L. Liu, H. Cui, Y. Zhao, H. Liu, X. Zhang, and X. Li, "Optimal scheme of energy storage system with wind power integration considering negative peak load regulation capacity," in Proc. IEEE Innovat. Smart Grid Technol. Asia (ISGT Asia), Chengdu, China, 2019, pp. 3826-3830.
[18] K. Mehta, Z. Kobti, K. Pfaff, and S. Fox, "Data augmentation using CA evolved GANs," in Proc. IEEE Symp. Comput. Commun. (ISCC), Barcelona, Spain, 2019, pp. 1087-1092.
[19] W. Yi, Y. Sun, and S. He, "Data augmentation using conditional GANs for facial emotion recognition," in Proc. Progr. Electromagn. Res. Symp. (PIERS-Toyama), Toyama, Japan, 2018, pp. 710-714.
[20] T. P. Lillicrap et al., "Continuous control with deep reinforcement learning," 2015. [Online]. Available: https://arxiv.org/abs/1509.02971.
[21] Measurement and Instrumentation Data Center (MIDC) of NREL, NREL, Golden, CO, USA. Accessed: Feb. 14, 2017. [Online]. Available: http://www.nrel.gov/midc/
[22] Open Energy Information and Data (OpenEI). Accessed: Feb. 12, 2017. [Online]. Available: http://en.openei.org/wiki/Main-page
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/1776
CollectionSchool of Data Science
Corresponding AuthorGuan, X.
Affiliation
1.School of Data Science and Technology, Heilongjiang University, Harbin 150080, China.
2.School of Data Science and Technology, Heilongjiang University, Harbin 150080, China. (e-mail: [email protected
3.State Grid Heilongjiang Electric Power Company Limited, Harbin 150080, China.
4.School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China, and with the Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China.
5.School of Data Science (SDS), The Chinese University of Hong Kong, Shenzhen (CUHK-SZ), and with the Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen 518172, China.
First Author AffilicationSchool of Data Science
Corresponding Author AffilicationSchool of Data Science
Recommended Citation
GB/T 7714
Fang, D.,Guan, X.,Hu, B.et al. Deep Reinforcement Learning for Scenario based Robust Economic Dispatch Strategy in Internet of Energy[J]. IEEE Internet of Things Journal,2020.
APA Fang, D., Guan, X., Hu, B., Peng, Y., Chen, M., & Hwang, K. (2020). Deep Reinforcement Learning for Scenario based Robust Economic Dispatch Strategy in Internet of Energy. IEEE Internet of Things Journal.
MLA Fang, D.,et al."Deep Reinforcement Learning for Scenario based Robust Economic Dispatch Strategy in Internet of Energy".IEEE Internet of Things Journal (2020).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Fang, D.]'s Articles
[Guan, X.]'s Articles
[Hu, B.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fang, D.]'s Articles
[Guan, X.]'s Articles
[Hu, B.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fang, D.]'s Articles
[Guan, X.]'s Articles
[Hu, B.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.