[HTML][HTML] Electric load forecasting under False Data Injection Attacks using deep learning
Precise electric load forecasting at different time horizons is an essential aspect for electricity
producers and consumers who participate in energy markets in order to maximize their …
producers and consumers who participate in energy markets in order to maximize their …
Deep learning-based cyber resilient dynamic line rating forecasting
Increased integration of renewable energy resources into the grid may create new difficulties
for ensuring a sustainable power grid which drives electric utilities to use a number of cost …
for ensuring a sustainable power grid which drives electric utilities to use a number of cost …
Defending Smart Electrical Power Grids against Cyberattacks with Deep -Learning
A key to ensuring the security of smart electrical power grids is to devise and deploy effective
defense strategies against cyberattacks. To achieve this goal, an essential task is to simulate …
defense strategies against cyberattacks. To achieve this goal, an essential task is to simulate …
Attack detection and localization in smart grid with image-based deep learning
M Mohammadpourfard, I Genc… - … for smart grids …, 2021 - ieeexplore.ieee.org
Smart grid's objective is to enable electricity and information to flow two-way while providing
effective, robust, computerized, and decentralized energy delivery. This necessitates the use …
effective, robust, computerized, and decentralized energy delivery. This necessitates the use …
Vulnerability analysis of distributed state estimation under joint deception attacks
This paper is concerned with the vulnerability of distributed state estimation under joint
deception attacks. We first consider that all the output measurements and state estimations …
deception attacks. We first consider that all the output measurements and state estimations …
Preserving microgrid sustainability through robust islanding detection scheme ensuring cyber-situational awareness
Along with the numerous environmental and operational benefits of renewable energy
sources (RESs) integration into modern distribution networks, maintaining system security in …
sources (RESs) integration into modern distribution networks, maintaining system security in …
An accurate false data injection attack (FDIA) detection in renewable-rich power grids
M Mohammadpourfard, Y Weng… - 2022 10th Workshop …, 2022 - ieeexplore.ieee.org
An accurate state estimation (SE) considering increased uncertainty by the high penetration
of renewable energy systems (RESs) is more and more important to enhance situational …
of renewable energy systems (RESs) is more and more important to enhance situational …
Optimal Encryption Scheduling Policy Against Eavesdropping Attacks in Cyber-Physical Systems
F Tao, D Ye - IEEE Transactions on Industrial Informatics, 2024 - ieeexplore.ieee.org
This article studies the optimal encryption scheduling for remote state estimation in cyber-
physical systems (CPSs) against eavesdropping attacks. A smart sensor sends packets to a …
physical systems (CPSs) against eavesdropping attacks. A smart sensor sends packets to a …
Data-driven Technology Applications in Planning, Demand-side Management, and Cybersecurity for Smart Household Community
The need for data-driven technologies such as artificial intelligence (AI), machine learning
(ML), and deep learning (DL) in various sectors has been soaring for over a decade. The …
(ML), and deep learning (DL) in various sectors has been soaring for over a decade. The …
Cyber-physical attack conduction and detection in decentralized power systems
The expansion of power systems over large geographical areas renders centralized
processing inefficient. Therefore, the distributed operation is increasingly adopted. This work …
processing inefficient. Therefore, the distributed operation is increasingly adopted. This work …