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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Autors principals:	Yao Zhang, Fan Lin, Ke Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-07-01
Col·lecció:	Energies
Matèries:	anomaly detection cybersecurity deterministic forecasting false data injection attack probabilistic forecasting wind power forecasting
Accés en línia:	https://www.mdpi.com/1996-1073/13/15/3780
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