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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
73
Citations
17560
World Ranking
780
National Ranking
337

Overview

Lei Wu is affiliated with Stevens Institute of Technology in the United States and has contributed extensively to the field of engineering, with a strong focus on electrical and electronic engineering, control and systems engineering, and artificial intelligence. Their research spans several key topics related to energy systems and smart grid technology.

The main research interests of Lei Wu include:

  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Optimal Power Flow Distribution
  • Microgrid Control and Optimization
  • Integrated Energy Systems Optimization
  • Energy Load and Power Forecasting
  • Power System Optimization and Stability

Lei Wu has published numerous papers in well-recognized venues, with frequent appearances in:

  • IEEE Transactions on Power Systems
  • IEEE Transactions on Sustainable Energy
  • IEEE Transactions on Smart Grid
  • Journal of Modern Power Systems and Clean Energy
  • International Journal of Electrical Power & Energy Systems

Significant recent publications include:

  • Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids, 2022, Applied Energy
  • Stochastic-Weighted Robust Optimization Based Bilayer Operation of a Multi-Energy Building Microgrid Considering Practical Thermal Loads and Battery Degradation, 2021, IEEE Transactions on Sustainable Energy
  • Multi-Stage Real-Time Operation of a Multi-Energy Microgrid With Electrical and Thermal Energy Storage Assets: A Data-Driven MPC-ADP Approach, 2021, IEEE Transactions on Smart Grid
  • Risk-Averse Coordinated Operation of a Multi-Energy Microgrid Considering Voltage/Var Control and Thermal Flow: An Adaptive Stochastic Approach, 2021, IEEE Transactions on Smart Grid
  • Intelligent Data-Driven Decision-Making Method for Dynamic Multisequence: An E-Seq2Seq-Based SCUC Expert System, 2021, IEEE Transactions on Industrial Informatics

The scientist has collaborated frequently with several co-authors, including:

  • Yuanzheng Li
  • Yong Zhao
  • Yikui Liu
  • Chuan He
  • Zhigang Zeng

Lei Wu's scholarly contributions also extend to book publications, notably:

  • Artificial Intelligence Enabled Computational Methods for Smart Grid Forecast and Dispatch, published by Springer Nature in 2023

The body of work reflects an emphasis on risk-averse, stochastic, and robust optimization methods applied to multi-energy microgrids and integrated energy systems, including practical considerations such as thermal loads, battery degradation, and real-time operational control. Lei Wu's research integrates data-driven approaches, including machine learning and model predictive control techniques, within smart grid environments.

Best Publications

  • Stochastic Security-Constrained Unit Commitment

    Lei Wu;M. Shahidehpour;Tao Li

  • Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization

    Zhi Chen;Lei Wu;Yong Fu

  • Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

    Shouxiang Wang;Na Zhang;Lei Wu;Yamin Wang

  • Hourly Coordination of Electric Vehicle Operation and Volatile Wind Power Generation in SCUC

    M. E. Khodayar;Lei Wu;M. Shahidehpour

  • Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM

    Chuan He;Lei Wu;Tianqi Liu;Mohammad Shahidehpour

  • Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

    Lei Wu;M. Shahidehpour;Zuyi Li

  • Market-Based Generation and Transmission Planning With Uncertainties

    Jae Hyung Roh;M. Shahidehpour;Lei Wu

  • A dual-frequency wilkinson power divider

    Unknown

  • Distributed Generation Hosting Capacity Evaluation for Distribution Systems Considering the Robust Optimal Operation of OLTC and SVC

    Shouxiang Wang;Sijia Chen;Leijiao Ge;Lei Wu

  • Optimal Traffic-Power Flow in Urban Electrified Transportation Networks

    Wei Wei;Shengwei Mei;Lei Wu;Mohammad Shahidehpour

  • New Metrics for Assessing the Reliability and Economics of Microgrids in Distribution System

    Shouxiang Wang;Zhixin Li;Lei Wu;Mohammad Shahidehpour

  • Cost of Reliability Analysis Based on Stochastic Unit Commitment

    Lei Wu;M. Shahidehpour;Tao Li

  • Reliability Assessment of Smart Grid Considering Direct Cyber-Power Interdependencies

    B. Falahati;Yong Fu;Lei Wu

  • A Fully-Decentralized Consensus-Based ADMM Approach for DC-OPF With Demand Response

    Yamin Wang;Lei Wu;Shouxiang Wang

  • Enhancing the Dispatchability of Variable Wind Generation by Coordination With Pumped-Storage Hydro Units in Stochastic Power Systems

    Mohammad E. Khodayar;Mohammad Shahidehpour;Lei Wu

  • Decentralized Optimization of Multi-Area Electricity-Natural Gas Flows Based on Cone Reformulation

    Yubin He;Mingyu Yan;Mohammad Shahidehpour;Zhiyi Li

  • Transmission Line Overload Risk Assessment for Power Systems With Wind and Load-Power Generation Correlation

    Xue Li;Xiong Zhang;Lei Wu;Pan Lu

  • Robust Network Hardening Strategy for Enhancing Resilience of Integrated Electricity and Natural Gas Distribution Systems Against Natural Disasters

    Chuan He;Chenxi Dai;Lei Wu;Tianqi Liu

  • Robust Co-Optimization Planning of Interdependent Electricity and Natural Gas Systems With a Joint N-1 and Probabilistic Reliability Criterion

    Chuan He;Lei Wu;Tianqi Liu;Zhaohong Bie

  • Towards an Assessment of Power System Frequency Support From Wind Plant—Modeling Aggregate Inertial Response

    Lei Wu;David G. Infield

  • Optimal Operation for Community-Based Multi-Party Microgrid in Grid-Connected and Islanded Modes

    Jie Li;Yikui Liu;Lei Wu

  • Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids

    Unknown

  • On the Robust Solution to SCUC With Load and Wind Uncertainty Correlations

    Bingqian Hu;Lei Wu;Muhammad Marwali

  • Peer-to-peer (P2P) electricity trading in distribution systems of the future

    Yikui Liu;Lei Wu;Jie Li

Frequent Co-Authors

Mohammad Shahidehpour
Mohammad Shahidehpour Illinois Institute of Technology
Zuyi Li
Zuyi Li Zhejiang University
Shengwei Mei
Shengwei Mei Tsinghua University
Goran Strbac
Goran Strbac Imperial College London
Ping Wang
Ping Wang York University
Hoay Beng Gooi
Hoay Beng Gooi Nanyang Technological University
Chuangxin Guo
Chuangxin Guo Zhejiang University
Yijia Cao
Yijia Cao Hunan University
Joao P. S. Catalao
Joao P. S. Catalao University of Porto
Anastasios G. Bakirtzis
Anastasios G. Bakirtzis Aristotle University of Thessaloniki

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