Detection of false data injection in smart grid using PCA based unsupervised learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-01809-3.pdf
Reference39 articles.
1. Messinis GM, Hatziargyriou ND (2018) Review of non-technical loss detection methods. Electric Power Syst Res 158:250–266
2. Buzau MM, Tejedor-Aguilera J, Cruz-Romero P, Gómez-Expósito A (2018) Detection of non-technical losses using smart meter data and supervised learning. IEEE Trans Smart Grid 10(3):2661–2670
3. Wang X, Ahn S-H (2020) Real-time prediction and anomaly detection of electrical load in a residential community. Appl Energy 259:114145
4. Attia M, Senouci SM, Sedjelmaci H, Aglzim E-H, Chrenko D (2018) An efficient intrusion detection system against cyber-physical attacks in the smart grid. Comput Electric Eng 68:499–512
5. Salmeron J, Wood K, Baldick R (2004) Analysis of electric grid security under terrorist threat. IEEE Trans Power Syst 19(2):905–912
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