Graduate Institute of Automation Technology

Office : Room 801C-2, Integrated Technology Complex

Phone : +886-2-2771-2171 Ext. 4327

Email : yhlin@ntut.edu.tw

Education : PhD, Graduate Institute of Mechanical and Electrical Engineering, National Taipei University of Technology, Taipei, Taiwan

Expertise : Artificial Intelligence, Edge-/Fog-Cloud collaborative computing, Smart Grid technology

RCEC Principal Research :

Residential Smart Energy Management

RCEC Research Goals :

• Design, implementation and practical evaluation of Energy Management Systems based on Fog-/Edge-Cloud computing
• Smart power meters/smart plugs based on Fog-/Edge-Cloud computing
• Non-Intrusive Load Monitoring techniques/Prognostics and Health Management
• Energy Conservation/Energy Efficiency/Demand Response

An advanced HEMS facilitated by NILM with Meta-heuristic-based Multi-objective in-home Load Scheduling

Research Method and Application :

Active Distributed Residential Mains Energy Disaggregation based on Edge-Cloud Collaboration
Preliminary implementation of the proposed energy management framework utilizing the active edge-cloud collaboration mechanism for smart energy disaggregation at the edge

Related Research Highlights :

Simulation scenarios demonstrating the proposed framework

Simulated power profile

AI training loss curve Smart energy disaggregation results