252 citations
- Northeast Electric Power UniversityCN3 papers
- Cranfield UniversityGB1 paper
- Huazhong University of Science and TechnologyCN1 paper
- Naval State UniversityPH1 paper
- Southeast UniversityCN1 paper
- University of Science and Technology of ChinaCN1 paper
- Wuhan Branch of the National Science LibraryCN1 paper
- Xi'an Jiaotong UniversityCN1 paper
- Xinyang Agriculture and Forestry UniversityCN1 paper
- Xinyang Normal UniversityCN1 paper
7 papers
Detector Design and Performance Analysis for Target Detection in Subspace Interference
Weijian Liu, Jun Liu, Tao Liu +2
It is often difficult to obtain sufficient training data for adaptive signal detection, which is required to calculate the unknown noise covariance matrix. Additionally, interferen…
Wind Power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach
Yang Li, Ruinong Wang, Yuanzheng Li +2
In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatilit…
Network Traffic Anomaly Detection Method Based on Multi scale Residual Feature
Xueyuan Duan, Yu Fu, Kun Wang
To address the problem that traditional network traffic anomaly detection algorithms do not suffi-ciently mine potential features in long time domain, an anomaly detection method b…
A review of data-driven short-term voltage stability assessment of power systems: Concept, principle, and challenges
Jiting Cao, Meng Zhang, Yang Li
With the rapid growth of power market reform and power demand, the power transmission capacity of a power grid is approaching its limit, and the secure and stable operation of powe…
A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems
Yang Li, Meng Zhang, Chen Chen
Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on…
Inertial based Integration with Transformed INS Mechanization in Earth Frame
Lubin Chang, Jingbo Di, Fangjun Qin
This paper proposes to use a newly-derived transformed inertial navigation system (INS) mechanization to fuse INS with other complementary navigation systems. Through formulating t…