| 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 | 281 | 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 | 204 | 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 | 181 | 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 | 179 | 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 | 150 | 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 | 70 | 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 | 63 | 2011 |
| 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 | 52 | 2019 |
| 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 | 51 | 2010 |
| 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 | 47 | 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 | 42 | 2021 |
| 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 | 38 | 2022 |
| 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 | 38 | 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 | 37 | 2021 |
| 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 | 35 | 2022 |
| 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 | 28 | 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 | 23 | 2011 |
| 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 | 21 | 2019 |
| 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 | 19 | 2015 |
| Artificial intelligence, accelerated in parallel computing and applied to nonintrusive appliance load monitoring for residential demand-side management in a smart grid: A … YC Hu, YH Lin, CH Lin Applied Sciences 10 (22), 8114, 2020 | 15 | 2020 |
