229 citations · 262 across the 8 of their papers we have counts for
8 papers
Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch
Yangze Zhou, Yihong Zhou, Thomas Morstyn +1
The increasing uncertainty from flexible demand and renewable generation has made distributionally robust optimization (DRO) an important tool for robust power system dispatch. DRO…
Supervised Reinforcement Learning for the Coordination of Distributed Energy Resources
Haoyuan Deng, Yihong Zhou, Thomas Morstyn +1
The increasing integration of distributed energy resources (DERs) is crucial for power system decarbonization, yet unlocking DERs' flexibility is challenged by their inherent uncer…
Unsupervised Congestion Status Identification Using LMP Data
Kedi Zheng, Qixin Chen, Yi Wang +2
Having a better understanding of how locational marginal prices (LMPs) change helps in price forecasting and market strategy making. This paper investigates the fundamental distrib…
A Global Modeling Approach for Load Forecasting in Distribution Networks
Miha Grabner, Yi Wang, Qingsong Wen +2
Efficient load forecasting is needed to ensure better observability in the distribution networks, whereas such forecasting is made possible by an increasing number of smart meter i…
Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
Yang Li, Jiazheng Li, Yi Wang
Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables. Based on big historical data, a novel federated deep ge…
Cost-Oriented Load Forecasting
Jialun Zhang, Yi Wang, Gabriela Hug
Accurate load prediction is an effective way to reduce power system operation costs. Traditionally, the mean square error (MSE) is a common-used loss function to guide the training…
Privacy-preserving Distributed Probabilistic Load Flow
Mengshuo Jia, Yi Wang, Chen Shen +1
Probabilistic load flow (PLF) allows to evaluate uncertainties introduced by renewable energy sources on system operation. Ideally, the PLF calculation is implemented for an entire…
Privacy-Preserving Distributed Clustering for Electrical Load Profiling
Mengshuo Jia, Yi Wang, Chen Shen +1
Electrical load profiling supports retailers and distribution network operators in having a better understanding of the consumption behavior of consumers. However, traditional clus…