Faculty

Institution

Unit

Venue

Xingpeng Li

Associate Professor

University of Houston

Affiliations

Cullen College of Engineering

Electrical & Computer Engineering

Honors College

Electrical Engineering

Xingpeng Li is currently serving as a Cullen College Of Engineering Associate Professor at University of Houston.

Honors

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Experiences

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Education

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Xingpeng Li

University of Houston

Associate Professor

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electrical engineering systems engineering energy management engineering power engineering machine learning unit commitment security-constrained unit commitment electric power systems deep learning renewable energy forecasting power system control power system analysis technology control optimization engineering optimization power system optimization transmission information security reliability engineering power electronics energy research electric power transmission power generation thermal engineering energy strategies energy management systems power management energy optimization demand forecasting real-time contingency analysis low-inertia power systems corrective network reconfiguration computational intelligence numerical simulations information technology congestion management convolutional neural networks hybrid energy system graph neural networks demand response offshore technology transmission system electrical transmission electrochemical energy storage energy infrastructure energy engineering day-ahead scheduling ambient measurements locational frequency stability power delivery intelligent computing wireless communications dalton transaction social science research interface science smart grid security electric grid integration urban informatics intelligent forecasting augmented intelligence energy storage systems metal anode energy storage devices aqueous batteries renewable energy storage multiterminal transmission lines switching solutions power system cyber-security flexible transmission corrective transmission grid-connected microgrid fast heuristics transmission outage coordination grid integration electricity generation energy storage smart grid

Notable Scholarly Works

Notable Federal Grants

Collaborators

Analysis of Weather and Time Features in Machine Learning-Aided Ercot Load Forecasting. (2024)

Jonathan YangMingjian TuoJin LuXingpeng Li

computer scienceforecastingmachine learningtime featuresweather forecastingtime series

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting. arXiv (Cornell University) (2024)

Raffoul, EliasTuo, MingjianZhao, CunzhiZhao, TianxiaLing, MengLi, Xingpeng

demand forecastingforecastingdata sciencemachine learning

Contents List. Dalton Transactions (2024)

Xiang LiShengchao ChaiHaolong LiCharles BeasleyOlivia DuletskiKsenia StankevichNavamoney ArulsamyMichael MockNing-Ning ZhangYa-Nan ZhangLi LiZhen-Yu LiYa-Tong LiuYunyun DongYong YanLinlin ZhangYiguang ChenLianghao YuXin TaoLan TangLiangzheng YeYu LiuLu HanHengzheng LiYihan LingGuang ZhuHuile JinWenjian YangJingshen ZhangHui XiongJing LanSongyang YuanMengdi ZhanZiyu TanWenzhe LiJiandong FanAlexander ShindrovYelizaveta MorkhovaJiaxiang LiuYuzhen ZhaoZhe ZhangManni LiWenqi SongWentao LiZongcheng MiaoFarzad FarahmandzadehHoda HekmataraMehdi MolaeiChanreingam LongManabendra RayKyle PearceLouis MorrisThomas RobinsonAndrew JohnsonMary MahonMichael Hill

mathematical chemistryphilosophy of chemistryinorganic chemistry frontiertheoretical chemistrychemistryorganic chemistrychemistry educationgeneral chemistrynuclear chemistryorganometallic chemistrychemical sciencesmain group chemistryroyal societyinorganic chemistrychemical analysisbiochemistryleading chemistry communitycheminformaticschemical measurementstructural chemistrycoordination chemistrycontents listtransition metal chemistrychemical structure

Decentralized Micro Water-Energy Co-Optimization for Small Communities. Electric Power Systems Research (2024)

Jesus Silva-RodriguezXingpeng Li

systems engineeringenergy optimizationpower engineeringpower system controlenergy managementengineeringpower system automationelectrical engineeringsmall communitiesmicro water-energy co-optimization

Development of a Coupled Agent-Based Generation Expansion Planning Tool With a Power Dispatch Model. Energy and Climate Change (2024)

Ali GhaffariFengwei HungY.C. Ethan YangJin LuXingpeng Li

power dispatch modelenergy generationelectricity generationsystems engineeringenergy systemsenergy strategiesengineeringenergy planningelectrical engineeringpower generationpower system optimizationsmart gridenergy researchcombinatorial optimizationenergy managementcontrol optimizationelectric power systemsmultiagent systemspower management

Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2024)

Arun Venkatesh RameshXingpeng Li

feasibility layerelectrical engineeringday-ahead operationsmachine learning

Hierarchical Deep Learning Model for Degradation Prediction Per Look Ahead Scheduled Battery Usage Profile. IEEE Transactions on Smart Grid (2024)

Cunzhi ZhaoXingpeng Li

computer sciencesystems engineeringforecastingdeep learningbattery usage profileservice life predictiondegradation predictionreal-time monitoringenergy predictionelectrical engineeringenergy storageenergy forecastingsmart gridmachine learning

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids. (2024)

Jesus Silva-RodriguezElias RaffoulXingpeng Li

forecastingsolar power-equipped microgridsdc microgridsdemand forecastingload controlsolar powerrenewable energywind powerenergy predictionelectrical engineeringenergy forecastingsmart grid

Microgrid Optimal Energy Scheduling Considering Neural Network Based Battery Degradation. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2024)

Cunzhi ZhaoXingpeng Li

power system analysissystems engineeringneural networkenergy optimizationpower system controlenergy managementengineeringelectrical engineeringpower electronicsenergy storagebattery degradationpower system optimization

Resilient Operational Planning for Microgrids Against Extreme Events. Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)

Tawei (David) WangEster GonzalezXuefei Deng

resilient operational planningsystems engineeringextreme eventsresilience

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Xingpeng Li

Associate Professor

University of Houston

Affiliations

Cullen College of Engineering

Electrical & Computer Engineering

Honors College

Electrical Engineering

Xingpeng Li is currently serving as a Cullen College Of Engineering Associate Professor at University of Houston.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Xingpeng Li

University of Houston

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Analysis of Weather and Time Features in Machine Learning-Aided Ercot Load Forecasting. (2024)

Jonathan YangMingjian TuoJin LuXingpeng Li

computer scienceforecastingmachine learningtime featuresweather forecastingtime series

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting. arXiv (Cornell University) (2024)

Raffoul, EliasTuo, MingjianZhao, CunzhiZhao, TianxiaLing, MengLi, Xingpeng

demand forecastingforecastingdata sciencemachine learning

Contents List. Dalton Transactions (2024)

Decentralized Micro Water-Energy Co-Optimization for Small Communities. Electric Power Systems Research (2024)

Jesus Silva-RodriguezXingpeng Li

systems engineeringenergy optimizationpower engineeringpower system controlenergy managementengineeringpower system automationelectrical engineeringsmall communitiesmicro water-energy co-optimization

Development of a Coupled Agent-Based Generation Expansion Planning Tool With a Power Dispatch Model. Energy and Climate Change (2024)

Ali GhaffariFengwei HungY.C. Ethan YangJin LuXingpeng Li

Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2024)

Arun Venkatesh RameshXingpeng Li

feasibility layerelectrical engineeringday-ahead operationsmachine learning

Hierarchical Deep Learning Model for Degradation Prediction Per Look Ahead Scheduled Battery Usage Profile. IEEE Transactions on Smart Grid (2024)

Cunzhi ZhaoXingpeng Li

LSTM-Based Net Load Forecasting for Wind and Solar Power-Equipped Microgrids. (2024)

Jesus Silva-RodriguezElias RaffoulXingpeng Li

forecastingsolar power-equipped microgridsdc microgridsdemand forecastingload controlsolar powerrenewable energywind powerenergy predictionelectrical engineeringenergy forecastingsmart grid

Microgrid Optimal Energy Scheduling Considering Neural Network Based Battery Degradation. 2021 IEEE Power & Energy Society General Meeting (PESGM) (2024)

Cunzhi ZhaoXingpeng Li

Tawei (David) WangEster GonzalezXuefei Deng

resilient operational planningsystems engineeringextreme eventsresilience

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10 / page

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Similar Faculty Members

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Institution

Temple University

electrical engineering

systems engineering

Paras Mandal

Institution

University of Texas at El Paso

electricity supply

electricity generation

Hongyu Wu

Institution

Kansas State University

electric vehicle

grid integration

Masood Parvania

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University of Utah

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energy planning

James McCalley

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transmission planning

electricity generation

Zhaoyu Wang

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renewable integration

power system restoration

Mohammad B Shadmand

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Ning Lu

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electric power system

Yuzhang Lin

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renewable energy

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