M
Men-Shen Tsai
Researcher at National Taipei University of Technology
Publications - 36
Citations - 1513
Men-Shen Tsai is an academic researcher from National Taipei University of Technology. The author has contributed to research in topics: Fault (power engineering) & Control reconfiguration. The author has an hindex of 21, co-authored 35 publications receiving 1371 citations. Previous affiliations of Men-Shen Tsai include University of Washington & Chinese Culture University.
Papers
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Journal ArticleDOI
Application of Enhanced Integer Coded Particle Swarm Optimization for Distribution System Feeder Reconfiguration
Wu-Chang Wu,Men-Shen Tsai +1 more
TL;DR: The proposed approach, enhanced integer coded particle swarm optimization (EICPSO), is able to improve the search efficiency for feeder reconfiguration problems by considering the historical local optimal solutions when generating new particles.
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An Advanced Home Energy Management System Facilitated by Nonintrusive Load Monitoring With Automated Multiobjective Power Scheduling
Yu-Hsiu Lin,Men-Shen Tsai +1 more
TL;DR: The experimental results reveal that the proposed advanced HEMS facilitated by a nonintrusive load monitoring (NILM) technique with an automated nondominated sorting genetic algorithm-II (NSGA-II)-based multiobjective in-home power scheduling mechanism is workable and feasible.
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Development of an Improved Time–Frequency Analysis-Based Nonintrusive Load Monitor for Load Demand Identification
Yu-Hsiu Lin,Men-Shen Tsai +1 more
TL;DR: The improved NILM proposed in this paper incorporates a multiresolution S-transform-based transient feature extraction scheme with a modified 0-1 multidimensional knapsack algorithm-based load identification method to identify individual household appliances that may either be energized simultaneously or be identified under similar real power consumption.
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Modern development of an Adaptive Non-Intrusive Appliance Load Monitoring system in electricity energy conservation
Men-Shen Tsai,Yu-Hsiu Lin +1 more
TL;DR: In this paper, a novel Adaptive Non-Intrusive Appliance Load Monitoring (ANIALM) system that integrates appliance energizing and de-energizing transient feature extraction methods with soft-computing techniques is developed to keep track of the energy consumption of each appliance.
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Application of Grey Correlation Analysis in Evolutionary Programming for Distribution System Feeder Reconfiguration
Men-Shen Tsai,Fu-Yuan Hsu +1 more
TL;DR: In this article, a Gray CoRrelation Analysis (GCRA) method is proposed to integrate the objectives and provide a relative measure to a particular switching plan associated with a chromosome without any prior knowledge of the system under reconfiguration.