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20102023
most citedContext-Aware Generative Adversarial Privacy

113 citations · 694 across the 64 of their papers we have counts for

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Showing 2015Show all

7 papers · 1 filter

stat.ML2015

A Sparse Linear Model and Significance Test for Individual Consumption Prediction

Pan Li, Baosen Zhang, Yang Weng +1

Accurate prediction of user consumption is a key part not only in understanding consumer flexibility and behavior patterns, but in the design of robust and efficient energy saving…

math.OC2015★ 4 cited

Control of Generalized Energy Storage Networks

Junjie Qin, Yinlam Chow, Jiyan Yang +1

The integration of intermittent and volatile renewable energy resources requires increased flexibility in the operation of the electric grid. Storage, broadly speaking, provides th…

math.OC2015★ 5 cited

Stability of Interconnected DC Converters

Gustavo Cezar, Ram Rajagopal, Baosen Zhang

This paper addresses stability issues of DC networks with constant power loads (CPL). Common DC networks, such as automotive electrical systems and DC microgrids, typically have a…

eess.SY2015★ 1 cited

Distribution System Outage Detection using Consumer Load and Line Flow Measurements

Raffi Sevlian, Yue Zhao, Andrea Goldsmith +2

An outage detection framework for power distribution networks is proposed. Given the tree structure of the distribution system, a method is developed combining the use of real-time…

eess.SY2015★ 25 cited

Distribution System Topology Detection Using Consumer Load and Line Flow Measurements

Raffi Avo Sevlian, Ram Rajagopal

This work presents a topology detection method combining home smart meter information and sparse line flow measurements. The problem is formulated as a spanning tree detection prob…

cs.GT2015

Competition and Efficiency of Coalitions in Cournot Games with Uncertainty

Baosen Zhang, Ramesh Johari, Ram Rajagopal

We investigate the impact of coalition formation on the efficiency of Cournot games where producers face uncertainties. In particular, we study a market model where firms must dete…