Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks

Robustness of Short-Term Wind Power Forecasting against False Data Injection Attacks

The accuracy of wind power forecasting depends a great deal on the data quality, which is so susceptible to cybersecurity attacks. In this paper, we study the cybersecurity issue of short-term wind power forecasting. We present one class of data attacks, called false data injection attacks, against...

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Bibliographic Details
Main Authors: Yao Zhang, Fan Lin, Ke Wang
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Energies
Subjects:
anomaly detection
cybersecurity
deterministic forecasting
false data injection attack
probabilistic forecasting
wind power forecasting
Online Access:https://www.mdpi.com/1996-1073/13/15/3780

Internet

https://www.mdpi.com/1996-1073/13/15/3780

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