Yu-Hsiu Lin
Yu-Hsiu Lin
Graduate Institute of Automation Technology, National Taipei University of Technology
Verified email at - Homepage
Cited by
Cited by
Design and implementation of cloud analytics-assisted smart power meters considering advanced artificial intelligence as edge analytics in demand-side management for smart homes
YY Chen, YH Lin, CC Kung, MH Chung, IH Yen
Sensors 19 (9), 2047, 2019
An advanced home energy management system facilitated by nonintrusive load monitoring with automated multiobjective power scheduling
YH Lin, MS Tsai
IEEE Transactions on Smart Grid 6 (4), 1839-1851, 2015
Modern development of an adaptive non-intrusive appliance load monitoring system in electricity energy conservation
MS Tsai, YH Lin
Applied Energy 96, 55-73, 2012
Development of an improved time–frequency analysis-based nonintrusive load monitor for load demand identification
YH Lin, MS Tsai
IEEE Transactions on Instrumentation and Measurement 63 (6), 1470-1483, 2013
Non-intrusive load monitoring by novel neuro-fuzzy classification considering uncertainties
YH Lin, MS Tsai
IEEE Transactions on Smart Grid 5 (5), 2376-2384, 2014
Residential consumer-centric demand-side management based on energy disaggregation-piloting constrained swarm intelligence: Towards edge computing
YH Lin, YC Hu
Sensors 18 (5), 1365, 2018
Applications of fuzzy classification with fuzzy c-means clustering and optimization strategies for load identification in NILM systems
YH Lin, MS Tsai, CS Chen
2011 IEEE international conference on fuzzy systems (FUZZ-IEEE 2011), 859-866, 2011
A novel feature extraction method for the development of nonintrusive load monitoring system based on BP-ANN
YH Lin, MS Tsai
2010 International Symposium on Computer, Communication, Control and …, 2010
Novel smart home system architecture facilitated with distributed and embedded flexible edge analytics in demand‐side management
YH Lin
International Transactions on Electrical Energy Systems 29 (6), e12014, 2019
Applications of hierarchical support vector machines for identifying load operation in nonintrusive load monitoring systems
YH Lin, MS Tsai
2011 9th world congress on intelligent control and automation, 688-693, 2011
Trainingless multi-objective evolutionary computing-based nonintrusive load monitoring: Part of smart-home energy management for demand-side management
YH Lin
Journal of Building Engineering 33, 101601, 2021
Electrical energy management based on a hybrid artificial neural network-particle swarm optimization-integrated two-stage non-intrusive load monitoring process in smart homes
YH Lin, YC Hu
Processes 6 (12), 236, 2018
A smart home energy management system using two-stage non-intrusive appliance load monitoring over fog-cloud analytics based on Tridium’s Niagara framework for residential …
YY Chen, MH Chen, CM Chang, FS Chang, YH Lin
Sensors 21 (8), 2883, 2021
Design and implementation of an IoT-oriented energy management system based on non-intrusive and self-organizing neuro-fuzzy classification as an electrical energy audit in …
YH Lin
applied sciences 8 (12), 2337, 2018
Development of a non-intrusive monitoring technique for appliance'identification in electricity energy management
MS Tsai, YH Lin
2011 International Conference on Advanced Power System Automation and …, 2011
Distributed real-time object detection based on edge-cloud collaboration for smart video surveillance applications
YY Chen, YH Lin, YC Hu, CH Hsia, YA Lian, SY Jhong
IEEE Access 10, 93745-93759, 2022
A smart home energy management system utilizing neurocomputing-based time-series load modeling and forecasting facilitated by energy decomposition for smart home automation
YH Lin, HS Tang, TY Shen, CH Hsia
IEEE Access 10, 116747-116765, 2022
The integration of a genetic programming-based feature optimizer with fisher criterion and pattern recognition techniques to non-intrusive load monitoring for load identification
YH Lin, MS Tsai
International journal of green energy 12 (3), 279-290, 2015
A smart autonomous time-and frequency-domain analysis current sensor-based power meter prototype developed over fog-cloud analytics for demand-side management
YY Chen, YH Lin
Sensors 19 (20), 4443, 2019
Visual IoT security: Data hiding in AMBTC images using block-wise embedding strategy
YH Lin, CH Hsia, BY Chen, YY Chen
Sensors 19 (9), 1974, 2019
The system can't perform the operation now. Try again later.
Articles 1–20