most citedShort-term Load Forecasting at Different Aggregation Levels with Predictability Analysis

15 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY20202 cited

Distributed Frequency Emergency Control with Coordinated Edge Intelligence

Yingmeng Xiang, Zhehan Yi, Xiao Lu +5

Developing effective strategies to rapidly support grid frequency while minimizing loss in case of severe contingencies is an important requirement in power systems. While distribu…

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.LG20191 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.LG201915 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…

cs.LG20192 cited

Submodular Load Clustering with Robust Principal Component Analysis

Yishen Wang, Xiao Lu, Yiran Xu +4

Traditional load analysis is facing challenges with the new electricity usage patterns due to demand response as well as increasing deployment of distributed generations, including…