Results 311 to 320 of about 1,993,252 (344)

Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects

Proceedings of the IEEE, 2023
With the increasing penetration of renewable energy and flexible loads in smart grids, a more complicated power system with high uncertainty is gradually formed, which brings about great challenges to smart grid operations.
Yuanzheng Li, Chaofan Yu, M. Shahidehpour, Tao Yang, Zhigang Zeng, Tianyou Chai   +5 more
semanticscholar   +1 more source

Cybersecurity of Smart Inverters in the Smart Grid: A Survey

IEEE transactions on power electronics, 2023
The penetration of distributed energy resources (DERs) in smart grids significantly increases the number of field devices owned and controlled by consumers, aggregators, third parties, and utilities.
Yuanliang Li, Jun Yan
semanticscholar   +1 more source

Blockchain for Cybersecurity in Smart Grid: A Comprehensive Survey

IEEE Transactions on Industrial Informatics, 2021
Blockchain is an immutable type of distributed ledger that is capable of storing data without relying on a third party. Blockchain technology has attracted significant interest in research areas, including its application in the smart grid for ...
Zhu Peng, Talha Zamir, Hao Liang
semanticscholar   +1 more source

Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration

IEEE Transactions on Industrial Informatics, 2021
With the prevalence of smart appliances, smart meters, and Internet of Things (IoT) devices in smart grids, artificial intelligence (AI) built on the rich IoT big data enables various energy data analysis applications and brings intelligent and ...
Z. Su, Yuntao Wang, T. Luan, Ning Zhang, Feng Li, Tao Chen, Hui Cao   +6 more
semanticscholar   +1 more source

Machine learning‐based model for prediction of power consumption in smart grid‐ smart way towards smart city

Expert Syst. J. Knowl. Eng., 2021
A smart city is an idea that is realized by the computing of a large amount of data collected through sensors, cameras, and other electronic methods to provide services, manage resources and solve daily life problems.
Shamik Tiwari, Anurag Jain, Nada Ahmed, Charu, Lulwah M. Alkwai, Alaa Kamal Yousif Dafhalla, Sawsan Ali Saad Hamad   +6 more
semanticscholar   +1 more source

A Comprehensive Review of the Current Status of Smart Grid Technologies for Renewable Energies Integration and Future Trends: The Role of Machine Learning and Energy Storage Systems

Energies
The integration of renewable energy sources (RES) into smart grids has been considered crucial for advancing towards a sustainable and resilient energy infrastructure.
Mahmoud Kiasari, Mahdi Ghaffari, Hamed H. Aly   +2 more
semanticscholar   +1 more source

Privacy-Preserving Energy Trading Using Consortium Blockchain in Smart Grid

IEEE Transactions on Industrial Informatics, 2019
Implementing blockchain techniques has enabled secure smart trading in many realms, e.g. neighboring energy trading. However, trading information recorded on the blockchain also brings privacy concerns.
Keke Gai, Yulu Wu, Liehuang Zhu, Meikang Qiu, Meng Shen   +4 more
semanticscholar   +1 more source

Permissioned Blockchain and Edge Computing Empowered Privacy-Preserving Smart Grid Networks

IEEE Internet of Things Journal, 2019
The blooming trend of smart grid deployment is engaged by the evolution of the network technology, as the connected environment offers various alternatives for electrical data collections. Having diverse data sharing/transfer means is deemed an important
Keke Gai, Yulu Wu, Liehuang Zhu, Lei Xu, Yan Zhang   +4 more
semanticscholar   +1 more source

Rechargeable Batteries for Grid Scale Energy Storage

Chemical Reviews, 2022
Yang Jin, , Wei Chen
exaly  

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

Computer Science Review, 2021
Thanasis Kotsiopoulos, P. Sarigiannidis, D. Ioannidis, D. Tzovaras   +3 more
semanticscholar   +1 more source