15 citations · 16 across the 2 of their papers we have counts for
3 papers
math.OC2019
A Deep Reinforcement Learning Based Approach for Optimal Active Power Dispatch
Jiajun Duan, Haifeng Li, Xiaohu Zhang +6
The stochastic and dynamic nature of renewable energy sources and power electronic devices are creating unique challenges for modern power systems. One such challenge is that the c…
cs.LG2019★ 1 cited
Probabilistic Load Forecasting via Point Forecast Feature Integration
Qicheng Chang, Yishen Wang, Xiao Lu +4
Short-term load forecasting is a critical element of power systems energy management systems. In recent years, probabilistic load forecasting (PLF) has gained increased attention f…
cs.LG2019★ 15 cited
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis
Yayu Peng, Yishen Wang, Xiao Lu +4
Short-term load forecasting (STLF) is essential for the reliable and economic operation of power systems. Though many STLF methods were proposed over the past decades, most of them…