Machine Learning-assisted Energy Management System for an Islanded Microgrid and Investigation of Data Integrity Attack on Power Generation-Reference-Cited by-同舟云学术

Machine Learning-assisted Energy Management System for an Islanded Microgrid and Investigation of Data Integrity Attack on Power Generation

Published:2022-10-09 Issue: Volume: Page:
ISSN:
Container-title:2022 North American Power Symposium (NAPS)
language:
Short-container-title:

Author:

Nazeri Amirhossein¹,Biroon Roghieh A.¹,Westman Jan K.²,Pisu Pierluigi¹,Hadidi Ramtin²

Affiliation:

1. Clemson University,Int. Center for Automotive Research,Greenville,USA

2. Clemson University,Electrical and Computer Engineering,Charleston,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10012119/10012131/10012180.pdf?arnumber=10012180

Reference27 articles.

1. Microgrid cyber security reference architecture.

2. Robust overlay networks for microgrid control systems;deconinck;Proc Workshop on Architecting Dependable Systems (WADS 2007) co-located with 37th Ann IEEE/IFIP Int Conf on Dependable Systems and Networks (DSN 2007) Edinburgh Scotland (UK),2007

3. A Cyber Security Architecture for Microgrid Deployments

4. Real-Time Detection and Estimation of Denial of Service Attack in Connected Vehicle Systems

5. Resilient control strategy under Denial of Service in connected vehicles

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids;Energy Conversion and Economics;2024-08

2. Energy management controllers: strategies, coordination, and applications;Energy Informatics;2024-07-18

3. Integrated Energy Management and Load Forecasting Using Machine Learning;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

4. Design, Detection, and Countermeasure of Frequency Spectrum Attack and Its Impact on Long Short-Term Memory Load Forecasting and Microgrid Energy Management;Energies;2024-02-13

5. Black-Box Stealthy Frequency Spectrum Attack on LSTM-based Power Load Forecasting in an Energy Management System with Islanded Microgrid;2023 North American Power Symposium (NAPS);2023-10-15