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Mengshi Li

South China University of Technology

Wushan

Guangzhou, AR 510640

China

  • South China University of Technology

SCHOLARLY PAPERS

4

DOWNLOADS

188

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Learning-Based Stochastic Multi-Objective Optimizer for Uncertain Power System Scheduling

Downloads 93 (725,554)

Learning-Based Stochastic Multi-Objective Optimizer for Uncertain Power System Scheduling

Number of pages: 13 Posted: 20 Aug 2024
Bin Deng, Mengshi Li, Tianyao Ji and Q.H. Wu
South China University of Technology, South China University of Technology, South China University of Technology and South China University of Technology
Downloads 56 (1,017,159)

Abstract:

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Power system， renewable energy， multi-objective optimization (MOO)， stochastic optimization

Learning-Based Stochastic Multi-Objective Optimizer for Uncertain Power System Scheduling

Number of pages: 13 Posted: 12 Feb 2025
Bin Deng, Mengshi Li, Tianyao Ji and Q.H. Wu
South China University of Technology, South China University of Technology, South China University of Technology and South China University of Technology
Downloads 37 (1,252,562)

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Power system， renewable energy， multi-objective optimization (MOO)， stochastic optimization

2.

High-Efficiency Stochastic Optimization for Unit Commitment with Personalized Demand Response and Wind Power Uncertainty

Number of pages: 20 Posted: 21 Jan 2025
Bin Deng, Yongxiang Lei, Mengshi Li, Tianyao Ji and Q.H. Wu
South China University of Technology, Central South University, South China University of Technology, South China University of Technology and South China University of Technology
Downloads 49 (1,074,648)

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Demand response, Power system, User utility functions, Parallel Group Search Optimizer (PGSO)

3.

Efficiently Optimizing Unit Commitment with Personalized Demand Response and Wind Power: A Parallel Approach

Number of pages: 16 Posted: 25 Sep 2024
Bin Deng, Mengshi Li, Tianyao Ji and Q.H. Wu
South China University of Technology, South China University of Technology, South China University of Technology and South China University of Technology
Downloads 27 (1,359,097)

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Demand response, power system, user utility functions, Parallel Group Search Optimizer (PGSO)

4.

Low-Carbon Operation Constrained Two-Stage Stochastic Energy and Reserve Scheduling: A Worst-Case Conditional Value-at-Risk Approach

Number of pages: 19 Posted: 31 Jul 2023
Jiacheng Shen, Mengshi Li, Zhenjia Lin, Tianyao Ji and Q.H. Wu
South China University of Technology, South China University of Technology, South China University of Technology, South China University of Technology and South China University of Technology
Downloads 19 (1,459,862)

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Energy and reserve scheduling, low-carbon operation, wind power uncertainty, worst-case CVaR