Y
Yu-Hsiu Lin
Researcher at National Taipei University of Technology
Publications - 36
Citations - 1022
Yu-Hsiu Lin is an academic researcher from National Taipei University of Technology. The author has contributed to research in topics: Smart grid & Demand response. The author has an hindex of 13, co-authored 33 publications receiving 768 citations. Previous affiliations of Yu-Hsiu Lin include Southern Taiwan University of Science and Technology & Providence College.
Papers
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Design and Implementation of Cloud Analytics-Assisted Smart Power Meters Considering Advanced Artificial Intelligence as Edge Analytics in Demand-Side Management for Smart Homes
TL;DR: This work designs and implements a smart edge analytics-empowered power meter prototype considering advanced AI in DSM for smart homes, designed and implemented as edge analytics in the architecture described and developed toward a next-generation smart sensing infrastructure forsmart homes.
Journal ArticleDOI
Non-Intrusive Load Monitoring by Novel Neuro-Fuzzy Classification Considering Uncertainties
Yu-Hsiu Lin,Men-Shen Tsai +1 more
TL;DR: An NILM system with a novel hybrid classification technique that integrates Fuzzy C-Means clustering-piloting Particle Swarm Optimization with Neuro-Fuzzy Classification considering uncertainties is proposed and is feasible.