activity
20152026
most citedEffect of startup modes on cold start performance of PEM fuel cells with different cathode flow fields

36 citations · 103 across the 28 of their papers we have counts for

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12 papers · 1 filter

eess.SY2026

PROMETHEE-based Modeling of Endogenous Behavioral Uncertainty of EV Owners

Dipayan Sarkar, Qifeng Li

The electric vehicle (EV) charging demands (CD) are jointly determined by the EV owners' behavior (i.e., human factor) and the electricity prices (i.e., decisions of distribution s…

eess.SY2025

Real-time Optimization for Wind-to-H2 Driven Critical Infrastructures Based on Active Constraints Identification and Integer Variables Prediction

Mostafa Goodarzi, Qifeng Li

This paper proposes a concept of wind-to-hydrogen-driven critical infrastructure (W2H-CI) as an engineering solution for decarbonizing the power generation sector where it utilizes…

eess.SY2023

Micro Energy-Water-Hydrogen Nexus: Data-driven Real-time Optimal Operation

Mostafa Goodarzi, Qifeng Li

This paper extends a new concept of energy-water-hydrogen (EWH) nexus, which was recently developed as a solution for reducing carbon emissions from the generation side of power sy…

eess.SY2023

Economic Viability of the Energy-Water-Hydrogen Nexus for Power System Decarbonization

Mostafa Goodarzi, Qifeng Li

This paper aims to evaluate the economic viability of the energy-water-hydrogen (EWH) nexus as a new solution for reducing carbon emissions from power systems. The urgency around c…

eess.SY2023★ 1 cited

Real-time Optimization for Wind-to-H2 Driven Critical Infrastructures: High-fidelity Active Constraints and Integer Variables Prediction Enhanced by Feature Space Expansion

Mostafa Goodarzi, Qifeng Li

This paper focuses on developing a real-time optimal operation model for a new engineering system, wind-to-hydrogen-driven low-carbon critical infrastructure (W2H-LCCI), that utili…

eess.SY2023★ 1 cited

A Novel Decentralized Algorithm for Coordinating the Optimal Power and Traffic Flows with EVs based on Variable Inner Loop Selection

Santosh Sharma, Qifeng Li

The electric power distribution network (PDN) and the transportation network (TN) are generally operated/coordinated by different entities. However, they are coupled with each othe…

eess.SY2022

Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method

Mostafa Goodarzi, Qifeng Li

Water and power systems are increasingly interdependent due to the growing number of electricity-driven water facilities. The security of one system can be affected by a contingenc…

eess.SY2021★ 2 cited

Optimal Operation of Power Systems with Energy Storage under Uncertainty: A Scenario-based Method with Strategic Sampling

Ren Hu, Qifeng Li

The multi-period dynamics of energy storage (ES), intermittent renewable generation and uncontrollable power loads, make the optimization of power system operation (PSO) challengin…

eess.SY2021

Fast Security Evaluation for Operation of Water Distribution Systems Against Extreme Conditions

Mostafa Goodarzi, Dan Wu, Qifeng Li

This paper defines a security injection region (SIR) to guarantee reliable operation of water distribution systems (WDS) under extreme conditions. The model of WDSs is highly nonli…

eess.SY2020★ 1 cited

Achieving Disaster-Resilient Distribution Systems via Emergency Response Resources: A Practical Approach

Santosh Sharma, Qifeng Li, Qiuhua Huang +1

This paper presents a practical approach to utilizing emergency response resources (ERRs) and post-disaster available distributed energy resources (PDA-DERs) to improve the resilie…

eess.SY2019

Ensemble learning based linear power flow

Ren Hu, QiFeng Li

This paper develops an ensemble learning-based linearization approach for power flow, which differs from the network-parameter based direct current (DC) power flow or other extende…

eess.SY2019★ 4 cited

Ensemble Learning Based Convex Approximation of Three-Phase Power Flow

Ren Hu, Qifeng Li, Feng Qiu

Though the convex optimization has been widely used in power systems, it still cannot guarantee to yield a tight (accurate) solution to some problems. To mitigate this issue, this…