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 …
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 …
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 …
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 …
Interpretable time-adaptive transient stability assessment based on dual-stage attention mechanism
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 …
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 …
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 …
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 …
Semi-supervised deep ensemble learning for travel mode identification
JQ James - Transportation Research Part C: Emerging …, 2020 - Elsevier
Travel mode identification is among the key problems in transportation research. With the
gradual and rapid adoption of GPS-enabled smart devices in modern society, this task …
gradual and rapid adoption of GPS-enabled smart devices in modern society, this task …