376 citations · 1.8k across the 22 of their papers we have counts for
11 papers · 1 filter
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks
Yang Li, Shitu Zhang, Yuanzheng Li
In the era of Industry 4.0, ensuring the resilience of cyber-physical systems against sophisticated cyber threats is increasingly critical. This study proposes a pioneering AI-base…
Electrical Load Forecasting Model Using Hybrid LSTM Neural Networks with Online Correction
Nan Lu, Quan Ouyang, Yang Li +1
Accurate electrical load forecasting is of great importance for the efficient operation and control of modern power systems. In this work, a hybrid long short-term memory (LSTM)-ba…
Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Zhaoyang Qu, Yunchang Dong, Yang Li +8
The emergence of novel the dummy data injection attack (DDIA) poses a severe threat to the secure and stable operation of power systems. These attacks are particularly perilous due…
Deep learning based on Transformer architecture for power system short-term voltage stability assessment with class imbalance
Yang Li, Jiting Cao, Yan Xu +2
Most existing data-driven power system short-term voltage stability assessment (STVSA) approaches presume class-balanced input data. However, in practical applications, the occurre…
Model predictive control strategy in waked wind farms for optimal fatigue loads
Cheng Zhong, Yicheng Ding, Husai Wang +3
With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to…
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
Jiankai Gao, Yang Li, Bin Wang +1
The implementation of a multi-microgrid (MMG) system with multiple renewable energy sources enables the facilitation of electricity trading. To tackle the energy management problem…