activity
20162020
most citedTwo-stage WECC Composite Load Modeling: A Double Deep Q-Learning Networks Approach

82 citations · 137 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2020

Evaluating Load Models and Their Impacts on Power Transfer Limits

Xinan Wang, Yishen Wang, Di Shi +4

Power transfer limits or transfer capability (TC) directly relate to the system operation and control as well as electricity markets. As a consequence, their assessment has to comp…

math.OC2020★ 21 cited

Global Sensitivity Analysis in Load Modeling via Low-rank Tensor

You Lin, Yishen Wang, Jianhui Wang +2

Growing model complexities in load modeling have created high dimensionality in parameter estimations, and thereby substantially increasing associated computational costs. In this…

eess.SY2019★ 82 cited

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…

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…

eess.SP2019

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…

cs.LG2019★ 2 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…

math.OC2018★ 1 cited

Optimal Distributed Energy Resources Sizing for Commercial Building Hybrid Microgrids

Yishen Wang, Zhehan Yi, Di Shi +3

As microgrids have advanced from early prototypes to relatively mature technologies, converting data center integrated commercial buildings to microgrids provides economic, reliabi…

math.OC2018★ 2 cited

Finite-Control-Set Model Predictive Control (FCS-MPC) for Islanded Hybrid Microgrids

Zhehan Yi, Abdulrahman J. Babqi, Yishen Wang +4

Microgrids consisting of multiple distributed energy resources (DERs) provide a promising solution to integrate renewable energies, e.g., solar photovoltaic (PV) systems. Hybrid AC…

eess.SP2017

An Extended Kalman Filter Enhanced Hilbert-Huang Transform in Oscillation Detection

Zhe Yu, Di Shi, Haifeng Li +3

Hilbert-Huang transform (HHT) has drawn great attention in power system analysis due to its capability to deal with dynamic signal and provide instantaneous characteristics such as…

math.OC2017★ 3 cited

Economic Dispatch Considering Spatial and Temporal Correlations of Multiple Renewable Power Plants

Chenghui Tang, Yishen Wang, Jian Xu +2

The correlations of multiple renewable power plants (RPPs) should be fully considered in the power system with very high penetration renewable power integration. This paper models…

cs.LG2017★ 3 cited

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

Yize Chen, Yishen Wang, Daniel Kirschen +1

Scenario generation is an important step in the operation and planning of power systems with high renewable penetrations. In this work, we proposed a data-driven approach for scena…

math.OC2017★ 1 cited

Impact of Local Transmission Congestion on Energy Storage Arbitrage Opportunities

Yishen Wang, Yury Dvorkin, Ricardo Fernández-Blanco +2

Reduced installation and operating costs give energy storage systems an opportunity to participate actively and profitably in electricity markets. In addition to providing ancillar…

math.OC2016★ 4 cited

Scalable Planning for Energy Storage in Energy and Reserve Markets

Bolun Xu, Yishen Wang, Yury Dvorkin +4

Energy storage can facilitate the integration of renewable energy resources by providing arbitrage and ancillary services. Jointly optimizing energy and ancillary services in a cen…

math.OC2016★ 2 cited

Evaluating Stochastic Methods in Power System Operations with Wind Power

Yishen Wang, Zhi Zhou, Cong Liu +1

Wind power is playing an increasingly important role in electricity markets. However, it's inherent variability and uncertainty cause operational challenges and costs as more opera…