Open Access
Issue
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
Article Number 01053
Number of page(s) 6
Section Energy Chemistry and Energy Storage and Save Technology
DOI https://doi.org/10.1051/e3sconf/202125701053
Published online 12 May 2021
  1. Shao Bln, Shi WJ, Bi JW, Wu J. (2020) Operation mode of shared charging pile under the background of ‘new infrastructure’. Rural Electrification, 1003-0867: 17-19. [Google Scholar]
  2. Tu YZ, Xia BB, Yang Zh, et al. (2018) A design of the platform of shared charging piles based on block chain. In: The Annual Meeting of Electric Power Industry Informatization. Yinchuan. pp. 221-225. [Google Scholar]
  3. Qi LH, Li X, Qi B, Wang H. (2017) Economic mode of shared charging piles based on the ecosystem of block chain. Electric Power Construction, 1000-7229: 1-7. [Google Scholar]
  4. Xue Zh, Wang D. (2020) Development status and prospect of energy block chain. Electric Power Information and Communication Technology, 2095-641X: 10-15. [Google Scholar]
  5. Li J, He, JH. (2016) An interpretation of the block chain and the distributed ledger technology. Financial Computerizing, 1008-0880: 56-58. [Google Scholar]
  6. Christidis K, Devetsikiotis M. (2016) Block chains and smart contracts for the Internet of things. IEEE Access, 2292-2303. [Google Scholar]
  7. Han X, Liu YM. (2017) A study of the consensus mechanism in block chain technology. Netinfo Security, 1671-1122: 147-152. [Google Scholar]
  8. Hal H. (2013) Bitcoin moves beyond money. New Scientist, 2945: 24-24. [Google Scholar]
  9. Zhang GY, Wang LL, Ma CG. (2007) Progress in the research of ring signature. Journal on Communications, 1000-436X: 109-117. [Google Scholar]
  10. Wang BB, Li YC, Zhao SN, et al. (2019) Key technologies of distributed energy trading based on block chain. Automation of Electric Power Systems, 1000-1026: 53-64. [Google Scholar]
  11. Zhan Y. (2018) A comparison of the block chain database and the traditional database. Computer Knowledge and Technology, 1009-3044: 44-45. [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.