75 citations · 144 across the 13 of their papers we have counts for
4 papers · 1 filter
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
Wangkun Xu, Jianhong Wang, Fei Teng
Successful machine learning involves a complete pipeline of data, model, and downstream applications. Instead of treating them separately, there has been a prominent increase of at…
Task-Aware Machine Unlearning and Its Application in Load Forecasting
Wangkun Xu, Fei Teng
Data privacy and security have become a non-negligible factor in load forecasting. Previous researches mainly focus on training stage enhancement. However, once the model is traine…
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting
Wangkun Xu, Fei Teng
The forecast of electrical loads is essential for the planning and operation of the power system. Recently, advances in deep learning have enabled more accurate forecasts. However,…
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
Jianhong Wang, Wangkun Xu, Yunjie Gu +2
This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning (MARL). The e…