Privacy-preserving traffic flow prediction: A federated learning approach
Existing traffic flow forecasting approaches by deep learning models achieve excellent
success based on a large volume of data sets gathered by governments and organizations …
success based on a large volume of data sets gathered by governments and organizations …
Online vehicle routing with neural combinatorial optimization and deep reinforcement learning
Online vehicle routing is an important task of the modern transportation service provider.
Contributed by the ever-increasing real-time demand on the transportation system …
Contributed by the ever-increasing real-time demand on the transportation system …
Differential evolution-based three stage dynamic cyber-attack of cyber-physical power systems
With the rapid development of communication, control, and computer technology, traditional
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …
power systems have evolved into cyber-physical power system (CPPS). However, CPPS not …
Fast transient stability batch assessment using cascaded convolutional neural networks
Stability assessment is a regular routine in both power system planning and operation. It is
computationally demanding using state-of-the-art approaches, such as time-domain …
computationally demanding using state-of-the-art approaches, such as time-domain …
Real-time traffic speed estimation with graph convolutional generative autoencoder
Real-time traffic speed estimation is an essential component of intelligent transportation
system (ITS) technologies. It is the foundation of modern transportation control and …
system (ITS) technologies. It is the foundation of modern transportation control and …
An integrated scheme for online dynamic security assessment based on partial mutual information and iterated random forest
S Liu, L Liu, Y Fan, L Zhang, Y Huang… - … on Smart Grid, 2020 - ieeexplore.ieee.org
With the continuous expansion of the power system scale and extensive application of
phasor measurement units (PMUs), the secure operation of power systems has been …
phasor measurement units (PMUs), the secure operation of power systems has been …
Interpretable time-adaptive transient stability assessment based on dual-stage attention mechanism
Q Chen, N Lin, S Bu, H Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Fast and reliable transient stability assessment (TSA) is significant for safe and stable power
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …
system operation. Deep learning provides a new tool for TSA. However, it is difficult to apply …
Integrated data-driven power system transient stability monitoring and enhancement
L Zhu, W Wen, J Li, Y Hu - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
While many promising data-driven power system transient stability assessment (TSA)
studies have been recently reported, very few of them further propose efficient data-driven …
studies have been recently reported, very few of them further propose efficient data-driven …
Extreme learning machine-based state reconstruction for automatic attack filtering in cyber physical power system
Successful detection of false data injection attacks (FDIAs) and removal of state bias due to
FDIAs are essential for ensuring secure power grids operation and control. This article first …
FDIAs are essential for ensuring secure power grids operation and control. This article first …
Correlation clustering imputation for diagnosing attacks and faults with missing power grid data
R Razavi-Far, M Farajzadeh-Zanjani… - … on Smart Grid, 2019 - ieeexplore.ieee.org
While the quality of the synchronized measurements is of paramount importance for real-
time monitoring and protection of the power grids, collected measurements often contain …
time monitoring and protection of the power grids, collected measurements often contain …