82 citations · 137 across the 15 of their papers we have counts for
5 papers · 1 filter
Two-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach
Xinan Wang, Yishen Wang, Di Shi +2
With the increasing complexity of modern power systems, conventional dynamic load modeling with ZIP and induction motors (ZIP + IM) is no longer adequate to address the current loa…
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…
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…
A Stacked Autoencoder Application for Residential Load Curve Forecast and Peak Shaving
Xinan Wang, Yishen Wang, Di Shi +1
For the last ten years, utilities have observed on-going transitions on consumers' load curves. The previously flat load curves have more frequently turned into duck-shape. This is…
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…