A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid-Reference-Cited by-同舟云学术

A Resource Allocation Scheme for Energy Demand Management in 6G-enabled Smart Grid

Published:2023-01-16 Issue: Volume: Page:
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Container-title:2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
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Author:

Islam Shafkat¹,Zografopoulos Ioannis²,Hossain Md Tamjid³,Badsha Shahriar⁴,Konstantinou Charalambos²

Affiliation:

1. Purdue University

2. King Abdullah University of Science and Technology (KAUST),CEMSE Division

3. University of Nevada,Reno

4. Bosch Engineering-North America

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10066177/10066335/10066396.pdf?arnumber=10066396

Reference19 articles.

1. Study on deep reinforcement learning techniques for building energy consumption forecasting

2. A survey on smart grid technologies and applications

3. Vulnerability Assessment of 6G-Enabled Smart Grid Cyber–Physical Systems

4. Behind closed doors: Process-level rootkit attacks in cyber-physical microgrid systems;rath;2022 IEEE Power & Energy Society General Meeting (PESGM),0

5. Detection of malicious attacks in autonomous cyber-physical inverter-based microgrids;zografopoulos;IEEE Transactions on Industrial Informatics,2021

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1. A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things;IEEE Access;2024

2. Energy aware routing with optimal deep learning based anomaly detection in 6G-IoT networks;Sustainable Energy Technologies and Assessments;2023-12

3. Emerging 6G/B6G Wireless Communication for the Power Infrastructure in Smart Cities: Innovations, Challenges, and Future Perspectives;Algorithms;2023-10-09

4. Network Resource Allocation Algorithm Using Reinforcement Learning Policy-Based Network in a Smart Grid Scenario;Electronics;2023-08-03

5. Deep Learning in the Ubiquitous Human–Computer Interactive 6G Era: Applications, Principles and Prospects;Biomimetics;2023-08-02