About
Contact & Profiles
A5022493667
Research Areas
- Water Systems and Optimization
- Data Stream Mining Techniques
- Solar Radiation and Photovoltaics
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Smart Grid Energy Management
South China University of Technology
2019-2021
Current methods for nonintrusive load monitoring (NILM) problems assume that the number of appliances in target location is known, however, this may not be realistic. In real-world situations, initial setup site can known but new added by users after a period time, especially household or nonrestrictive scenarios. sense, current without detecting accurately monitor loads different and paper, novel appliance detection method proposed NILM with imbalance classification switching ON OFF. The...
10.1109/tii.2019.2916213
article
EN
IEEE Transactions on Industrial Informatics
2019-05-10
10.1007/s13042-021-01340-6
article
EN
International Journal of Machine Learning and Cybernetics
2021-05-04
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