Accuracy improvement of electrical load forecasting against new cyber-attack architectures

Author:

Aflaki Arshia,Gitizadeh Mohsen,Kantarci Burak

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference35 articles.

1. 1.7. Gaussian Processes — Scikit-learn 0.24.1 documentation. (n.d.). Retrieved April 7, 2021, from https://scikit-learn.org/stable/modules/gaussian_process.html.

2. A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids;Aflaki;Energies,2021

3. Probabilistic anomaly detection in natural gas time series data;Akouemo;International Journal of Forecasting,2016

4. An ensemble deep learning-based cyber-attack detection in industrial control system;Al-Abassi,2020

5. Information Theory, Inference, and Learning Algorithms;Andrew;Kybernetes,2004

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