[HTML][HTML] Energetics Systems and artificial intelligence: Applications of industry 4.0

T Ahmad, H Zhu, D Zhang, R Tariq, A Bassam, F Ullah… - Energy Reports, 2022 - Elsevier
Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

When energy trading meets blockchain in electrical power system: The state of the art

N Wang, X Zhou, X Lu, Z Guan, L Wu, X Du… - Applied Sciences, 2019 - mdpi.com
With the rapid growth of renewable energy resources, energy trading has been shifting from
the centralized manner to distributed manner. Blockchain, as a distributed public ledger …

Privacy-preserving energy trading using consortium blockchain in smart grid

K Gai, Y Wu, L Zhu, M Qiu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Implementing blockchain techniques has enabled secure smart trading in many realms, eg
neighboring energy trading. However, trading information recorded on the blockchain also …

Blockchain-enabled secure energy trading with verifiable fairness in industrial Internet of Things

M Li, D Hu, C Lal, M Conti… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Energy trading in Industrial Internet of Things (IIoT), a fundamental approach to realize
Industry 4.0, plays a vital role in satisfying energy demands and optimizing system efficiency …

Secure social internet of things based on post-quantum blockchain

H Yi - IEEE transactions on Network Science and …, 2021 - ieeexplore.ieee.org
With the advancement of the application of Internet of Things (IoTs), the IoT technology is
combining with the social network, forming a new network with private object information as …

A Bayesian game based vehicle-to-vehicle electricity trading scheme for blockchain-enabled internet of vehicles

S Xia, F Lin, Z Chen, C Tang, Y Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With ever increasing people's awareness of low carbon and environmental protection,
electric vehicles are gradually gaining wide popularity. However, the driving endurance of …

Reinforcement-learning-based optimal control of hybrid energy storage systems in hybrid AC–DC microgrids

J Duan, Z Yi, D Shi, C Lin, X Lu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a reinforcement-learning-based online optimal (RL-OPT) control method is
proposed for the hybrid energy storage system (HESS) in ac-dc microgrids involving …

An efficient federated transfer learning framework for collaborative monitoring of wind turbines in IoE-enabled wind farms

L Wang, W Fan, G Jiang, P Xie - Energy, 2023 - Elsevier
Wind turbine (WT) condition monitoring has gained increasing interests in the era of the
Internet of Energy (IoE), and existing monitoring approaches mainly focus on training a …

An optimal scheduling algorithm for hybrid EV charging scenario using consortium blockchains

X Huang, Y Zhang, D Li, L Han - Future Generation Computer Systems, 2019 - Elsevier
In this paper, we propose an optimal charging scheduling algorithm for hybrid vehicle
charging scenarios. Unlike traditional charging scheduling algorithms, which only consider …

A survey on energy trading in the smart grid: Taxonomy, research challenges and solutions

S Aggarwal, N Kumar, S Tanwar, M Alazab - IEEE Access, 2021 - ieeexplore.ieee.org
The smart grid is generally studied as an efficient and powerful electric grid. With the
assistance of information and communication technology (ICT), the electric grid can increase …