Search Results for author: Simon Tindemans

Found 3 papers, 1 papers with code

Training Strategies for Autoencoder-based Detection of False Data Injection Attacks

no code implementations14 May 2020 Chenguang Wang, Kaikai Pan, Simon Tindemans, Peter Palensky

The security of energy supply in a power grid critically depends on the ability to accurately estimate the state of the system.

Detection of False Data Injection Attacks Using the Autoencoder Approach

no code implementations4 Mar 2020 Chenguang Wang, Simon Tindemans, Kaikai Pan, Peter Palensky

State estimation is of considerable significance for the power system operation and control.

Accelerating System Adequacy Assessment using the Multilevel Monte Carlo Approach

1 code implementation29 Oct 2019 Simon Tindemans, Goran Strbac

It explains which requirements the MLMC framework imposes on the model hierarchy, and how these naturally occur in power system adequacy assessment problems.

Computation Systems and Control Systems and Control

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