• Jiaqi Wu School of Artificial Intelligence, Shenzhen Polytechnic, Shenzhen, China
  • Yujuan Zhou School of Artificial Intelligence, Shenzhen Polytechnic, Shenzhen, China
  • Yuhao Zhang School of Artificial Intelligence, Shenzhen Polytechnic, Shenzhen, China
  • Dingxiang Zheng ShenZhen information service Blockchain Association, Shenzhen, China
  • Weiping Deng WeBank, Shenzhen, China
  • Tao Qu Guangzhou Urban Blockchain Industry Association, Guangzhou, China



Blockchain, Energy, Renewable Energy, Decentralization, Application


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.


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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Yang, T., Zhang, Y., Xiao, S., & Zhao, Y. (2021). Digital Signature Based on ISRSAC. In China Communications, 18(1), 161–168.

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.

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.




How to Cite

Wu, J., Zhou, Y., Zhang, Y., Zheng, D., Deng, W., & Qu, T. (2023). APPLICATION OF BLOCKCHAIN IN ENERGY. International Journal of Engineering Technologies and Management Research, 10(4), 32–40.