8 citations · 14 across the 6 of their papers we have counts for
6 papers
A tractable ellipsoidal approximation for voltage regulation problems
Pan Li, Baihong Jin, Ruoxuan Xiong +3
We present a machine learning approach to the solution of chance constrained optimizations in the context of voltage regulation problems in power system operation. The novelty of o…
A Capacity-Price Game for Uncertain Renewables Resources
Pan Li, Shreyas Sekar, Baosen Zhang
Renewable resources are starting to constitute a growing portion of the total generation mix of the power system. A key difference between renewables and traditional generators is…
Bayesian Renewables Scenario Generation via Deep Generative Networks
Yize Chen, Pan Li, Baosen Zhang
We present a method to generate renewable scenarios using Bayesian probabilities by implementing the Bayesian generative adversarial network~(Bayesian GAN), which is a variant of g…
Linear Estimation of Treatment Effects in Demand Response: An Experimental Design Approach
Pan Li, Baosen Zhang
Demand response aims to stimulate electricity consumers to modify their loads at critical time periods. In this paper, we consider signals in demand response programs as a binary t…
A Distributed Online Pricing Strategy for Demand Response Programs
Pan Li, Hao Wang, Baosen Zhang
We study a demand response problem from utility (also referred to as operator)'s perspective with realistic settings, in which the utility faces uncertainty and limited communicati…
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect
Pan Li, Baosen Zhang
Demand response is designed to motivate electricity customers to modify their loads at critical time periods. The accurate estimation of impact of demand response signals to custom…