Open Access
Issue
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
Article Number 03009
Number of page(s) 6
Section Power Engineering and Power Generation Technology
DOI https://doi.org/10.1051/e3sconf/202019403009
Published online 15 October 2020
  1. L.F. Cheng, T. Yu, X.S. Zhang, L.F. Yin, and K.Q. Qu, “Cyber-physical-social systems based smart energy robotic dispatcher and its knowledge automation: framework, techniques and challenges,” Proceedings of the CSEE, vol. 38, no. 1, pp. 25-40, Jan. 2018. [Google Scholar]
  2. Monitoring analytics. Reports: PJM state of the market. 2017-01-09. http://www.monitoringanalytics.com/reports/PJM_State_ of_the_Market/2016.shtml. [Google Scholar]
  3. L.J. Shi, B. Pang, D.N. Liu, G.Y. Qin, G.D. Li, and Q. Zhang, “Power market transaction analysis of index of Beijing electric power exchange center under new electricity reform,” Automation of Electric Power Systems, vol. 43, no. 6, pp. 163-170, Mar. 2019. [Google Scholar]
  4. L.F. Cheng and T. Yu, “Game-theoretic approaches applied to transactions in the open and ever-growing electricity markets from the perspective of power demand response: An overview,” IEEE Access, vol. 7, no. 1, pp. 25727-25762, Mar. 2019. [Google Scholar]
  5. L.F. Cheng and T. Yu, “Nash equilibrium-based asymptotic stability analysis of multi-group asymmetric evolutionary games in typical scenario of electricity market,” IEEE Access, vol. 6, no. 1, pp. 32064-32086, Dec. 2018. [Google Scholar]
  6. J Von Neumann and O Morgenstern. The theory of games and economic behavior. 2nd edition, Princeton: Princeton University Press, 1947, pp. 1-15. [Google Scholar]
  7. J.H. Wang, Z. Zhou, and A. Botterud, “An evolutionary game approach to analyzing bidding strategies in electricity markets with elastic demand,” Energy, vol. 36, pp. 3459-3467, Apr. 2011. [CrossRef] [Google Scholar]
  8. B. Bahmani-Firouzi, S. Sharifinia, R. Azizipanah-Abarghooee, and T. Niknam, “Scenario-based optimal bidding strategies of GENCOs in the incomplete information electricity market using a new improved prey-predator optimization algorithm,” IEEE Syst. J., vol. 9, no. 4, pp. 1485-1495, Dec. 2015. [Google Scholar]
  9. J. Vijaya Kumar and D.M. Vinod Kumar, “Generation bidding strategy in a pool based electricity market using Shuffled Frog Leaping algorithm,” Appl. Soft Comput., vol. 21, pp. 407-414, Apr. 2014. [Google Scholar]
  10. S. Abapour, M. Nazari-Heris, B. Mohammadi-lvatloo, and M.T. Hagh. “Game theory approaches for the solution of power system problems: a comprehensive review,” Arch. Computat. Methods Eng., to be published, pp. 1-23, Nov. 2018. https://doi.org/10.1007/s11831-018-9299-7 [Google Scholar]
  11. V. Krivan, T.E. Galanthay, and R. Cressman, “Beyond replicator dynamics: From frequency to density dependent models of evolutionary games,” J. Theor. Biol., vol. 455, pp. 232-248, 2018. [CrossRef] [PubMed] [Google Scholar]
  12. L.F. Cheng and T. Yu, “Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market,” Proceedings of the CSEE, vol. 38, no. 19, pp. 5687-5703, Oct. 2018. [Google Scholar]
  13. L.F. Cheng and T. Yu, “Decision-making behavior investigation for general multi-strategy evolutionary games in the spontaneous formation of long-term bidding equilibria of a power generation market,” Proceedings of the CSEE, accepted, doi: 10.13334/j.0258-8013.pcsee.191237. [Google Scholar]
  14. L.F. Cheng, T. Yu, X.S. Zhang, and L.F. Yin, “Machine learning for energy and electric power systems: state of the art and prospects,” Autom. Electr. Power Syst., vol. 43, no. 1, pp. 15-31, Jan. 2019. [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.