APPLICATION OF BLOCKCHAIN IN ENERGY
DOI:
https://doi.org/10.29121/ijetmr.v10.i4.2023.1306Keywords:
Blockchain, Energy, Renewable Energy, Decentralization, ApplicationAbstract
Blockchain or distributed ledger technology has attracted great interest from companies in the energy industry. The combination of blockchain and energy is undoubtedly one of the most striking technological innovations in recent years. A typical application area of blockchain in the energy industry is trading and credit. Stakeholders use blockchain technology to promote distributed or wholesale energy transactions and create virtual grids. Consumers can trade between their own devices and resources, with their neighbors and with the grid. The whole process can be automated through smart contracts. In this article, we will discuss some use cases related to the application of blockchain in the energy field.
Downloads
References
Akleylek, S., Soysaldı, M., Lee, W.-K., Hwang, S. O., & Wong, D. C.-K. (2021). Novel Postquantum MQ-Based Signature Scheme for Internet of Things with Parallel Implementation. In IEEE Internet of Things Journal, 8(8), 6983–6994. https://doi.org/10.1109/JIOT.2020.3038388
Bisheh-Niasar, M., Azarderakhsh, R., & Mozaffari-Kermani, M. (2021). Cryptographic Accelerators for Digital Signature Based on Ed25519. In IEEE Transactions on Very Large-Scale Integration (VLSI) Systems, 29(7), 1297–1305. https://doi.org/10.1109/TVLSI.2021.3077885
Culqui-Culqui, G., Sanchez-Gordon, S., & Hernández-Álvarez, M. (2022). An Algorithm for Classifying Handwritten Signatures Using Convolutional Networks. In IEEE Latin America Transactions, 20(3), 465–473. https://doi.org/10.1109/TLA.2022.9667145
Esiner, E., Tefek, U., Erol, H. S. M., Mashima, D., Chen, B., Hu, Y., Kalbarczyk, Z., & Nicol, D. M. (2022). Lomos: Less-Online/More-Offline Signatures for Extremely Time-Critical Systems. In IEEE Transactions on Smart Grid, 13(4), 3214–3226. https://doi.org/10.1109/TSG.2022.3156897
Fouladi, S., Safaei, A. A., Mammone, N., Ghaderi, F., & Ebadi, M. J. (2022). Efficient deep neural networks for classification of Alzheimer’s disease and mild cognitive impairment from scalp EEG recordings. Cognitive Computation, 14(4), 1247–1268. https://doi.org/10.1007/s12559-022-10033-3
Hou, Y., Xiong, H., Huang, X., & Kumari, S. (2021). Certificate-Based Parallel Key-Insulated Aggregate Signature Against Fully Chosen Key Attacks for Industrial Internet of Things. In IEEE Internet of Things Journal, 8(11), 8935–8948. https://doi.org/10.1109/JIOT.2021.3056477
Huang, H., Wu, Y., Xiao, F., & Malekian, R. (2021). An Efficient Signature Scheme Based on Mobile Edge Computing in the NDN-IOT Environment. In IEEE Transactions on Computational Social Systems, 8(5), 1108–1120. https://doi.org/10.1109/TCSS.2021.3076209
Impedovo, D., & Pirlo, G. (2021). Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead. In IEEE Transactions on Emerging Topics in Computing, 9(1), 554–568. https://doi.org/10.1109/TETC.2018.2865345
Li, H., Wei, P., & Hu, P. (2022). AVN: An Adversarial Variation Network Model for Handwritten Signature Verification. In IEEE Transactions on Multimedia, 24, 594–608. https://doi.org/10.1109/TMM.2021.3056217
Li, Q., Luo, M., Hsu, C., Wang, L., & He, D. (2022). A Quantum Secure and Noninteractive Identity-Based Aggregate Signature Protocol from Lattices. In IEEE Systems Journal, 16(3), 4816–4826. https://doi.org/10.1109/JSYST.2021.3112555
Liu, J., Yu, Y., Li, K., & Gao, L. (2022). Post-Quantum Secure Ring Signatures for Security and Privacy in the Cybertwin-Driven 6G. In IEEE Internet of Things Journal, 8(22), 16290–16300. https://doi.org/10.1109/JIOT.2021.3102385
Malekshah, S., Rasouli, A., Malekshah, Y., Ramezani, A., and Malekshah, A. (2021). Reliability-Driven Distribution Power Network Dynamic Reconfiguration in Presence of Distributed Generation by the Deep Reinforcement Learning Method, Alexandria Engineering Journal, 61(8), 6541-6556. https://doi.org/10.1016/j.aej.2021.12.012
Meshram, C., Obaidat, M. S., Tembhurne, J. V., Shende, S. W., Kalare, K. W., & Meshram, S. G. A. (2021). A Lightweight Provably Secure Digital Short-Signature Technique Using Extended Chaotic Maps for Human-Centered Iot Systems. In IEEE Systems Journal, 15(4), 5507–5515. https://doi.org/10.1109/JSYST.2020.3043358
Shim, K. A. (2022). A Survey on Post-Quantum Public-Key Signature Schemes for Secure Vehicular Communications. In IEEE Transactions on Intelligent Transportation Systems, 23(9), 14025–14042. https://doi.org/10.1109/TITS.2021.3131668
Suhail, S., Hussain, R., Khan, A., & Hong, C. S. (2021). On the Role of Hash-Based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions. In IEEE Internet of Things Journal, 8(1), 1–17. https://doi.org/10.1109/JIOT.2020.3013019
Verma, G. K., Kumar, N., Gope, P., Singh, B. B., & Singh, H. SCBS (2021). A Short Certificate-Based Signature Scheme with Efficient Aggregation for Industrial-Internet-of-Things Environment. In IEEE Internet of Things Journal, 8(11), 9305–9316. https://doi.org/10.1109/JIOT.2021.3055843
Xiao, Y., Zhang, P., & Liu, Y. (2021). Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform. In IEEE Transactions on Information Forensics and Security, 16, 1782–1794. https://doi.org/10.1109/TIFS.2020.3042070
Yang, T., Zhang, Y., Xiao, S., & Zhao, Y. (2021). Digital Signature Based on ISRSAC. In China Communications, 18(1), 161–168. https://doi.org/10.23919/JCC.2021.01.014
Yang, W., Wang, S., & Mu, Y. (2021). An Enhanced Certificateless Aggregate Signature Without Pairings for E-Healthcare System. In IEEE Internet of Things Journal, 8(6), 5000–5008. https://doi.org/10.1109/JIOT.2020.3034307
Yavuz, A. A., & Ozmen, M. O. (2022). Ultra Lightweight Multiple-Time Digital Signature for the Internet of Things Devices. In IEEE Transactions on Services Computing, 15(1), 215–227. https://doi.org/10.1109/TSC.2019.2928303
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jiaqi Wu, Yujuan Zhou, Yuhao Zhang, Dingxiang Zheng, Weiping Deng, Tao Qu
This work is licensed under a Creative Commons Attribution 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere.
- That its release has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with International Journal of Engineering Technologies and Management Research agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
For More info, please visit CopyRight Section
