27 citations · 206 across the 63 of their papers we have counts for
5 papers · 1 filter
Creation of Synthetic Networked PMU Data: A Generative Adversarial Network Approach
Xiangtian Zheng, Bin Wang, Dileep Kalathil +1
This paper introduces a machine learning-based approach to synthetically creating realistic phasor measurement unit (PMU) data streams of multiple transient types. In contrast to t…
Nested Reinforcement Learning Based Control for Protective Relays in Power Distribution Systems
Dongqi Wu, Xiangtian Zheng, Dileep Kalathil +1
This paper envisions a new control architecture for the protective relay setting in future power distribution systems. With deepening penetration of distributed energy resources at…
Selling Demand Response Using Options
Deepan Muthirayan, Dileep Kalathil, Sen Li +2
Wholesale electricity markets in many jurisdictions use a two-settlement structure: a day-ahead market for bulk power transactions and a real-time market for fine-grain supply-dema…
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
Ran Wang, Karthikeya Parunandi, Dan Yu +2
This paper addresses the problem of learning the optimal control policy for a nonlinear stochastic dynamical system with continuous state space, continuous action space and unknown…
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge
Rajarshi Bhattacharyya, Archana Bura, Desik Rengarajan +6
The predominant use of wireless access networks is for media streaming applications, which are only gaining popularity as ever more devices become available for this purpose. Howev…