Baosen Zhang

is this you? claim profile

0 followers
University of Washington

Distribution System Voltage Control under Uncertainties

Voltage control plays an important role in the operation of electricity ...
04/28/2017 ∙ by Pan Li, et al. ∙ 0 ∙ share

read it
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect

Demand response is designed to motivate electricity customers to modify ...
10/02/2016 ∙ by Pan Li, et al. ∙ 0 ∙ share

read it
Learning Temporal Dependence from Time-Series Data with Latent Variables

We consider the setting where a collection of time series, modeled as ra...
08/27/2016 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

read it
Online Active Linear Regression via Thresholding

We consider the problem of online active learning to collect data for re...
02/09/2016 ∙ by Carlos Riquelme, et al. ∙ 0 ∙ share

read it
A Sparse Linear Model and Significance Test for Individual Consumption Prediction

Accurate prediction of user consumption is a key part not only in unders...
11/05/2015 ∙ by Pan Li, et al. ∙ 0 ∙ share

read it
Uncertainty in Multi-Commodity Routing Networks: When does it help?

We study the equilibrium quality under user uncertainty in a multi-commo...
09/25/2017 ∙ by Shreyas Sekar, et al. ∙ 0 ∙ share

read it
Bayesian Renewables Scenario Generation via Deep Generative Networks

We present a method to generate renewable scenarios using Bayesian proba...
02/02/2018 ∙ by Yize Chen, et al. ∙ 0 ∙ share

read it
Real-Time Prediction of the Duration of Distribution System Outages

This paper addresses the problem of predicting duration of unplanned pow...
04/03/2018 ∙ by Aaron Jaech, et al. ∙ 0 ∙ share

read it
A Capacity-Price Game for Uncertain Renewables Resources

Renewable resources are starting to constitute a growing portion of the ...
04/17/2018 ∙ by Pan Li, et al. ∙ 0 ∙ share

read it
A tractable ellipsoidal approximation for voltage regulation problems

We present a machine learning approach to the solution of chance constra...
03/09/2019 ∙ by Pan Li, et al. ∙ 0 ∙ share

read it
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach

Probabilistic power flow (PPF) plays a critical role in the analysis of ...
06/14/2019 ∙ by Yan Yang, et al. ∙ 0 ∙ share

read it
Learning in Cournot Games with Limited Information Feedback

In this work, we study the interaction of strategic players in continuou...
06/15/2019 ∙ by Yuanyuan Shi, et al. ∙ 0 ∙ share

read it

Baosen Zhang

Featured Co-authors

Mari Ostendorf

Pan Li

Sreeram Kannan

Radha Poovendran

Ram Rajagopal

Alberto Sangiovanni-Vincentelli

Lillian J. Ratliff

Aaron Jaech

Hossein Hosseini

Ramesh Johari

Shreyas Sekar

Distribution System Voltage Control under Uncertainties

An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect

Learning Temporal Dependence from Time-Series Data with Latent Variables

Online Active Linear Regression via Thresholding

A Sparse Linear Model and Significance Test for Individual Consumption Prediction

Uncertainty in Multi-Commodity Routing Networks: When does it help?

Bayesian Renewables Scenario Generation via Deep Generative Networks

Real-Time Prediction of the Duration of Distribution System Outages

A Capacity-Price Game for Uncertain Renewables Resources

A tractable ellipsoidal approximation for voltage regulation problems

Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach

Learning in Cournot Games with Limited Information Feedback