IEEE

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

Abstract: Electric load forecasting, especially short-term load forecasting (STLF), is becoming more and more important for power system operation. We propose to use multiple kernel learning (MKL) for ...
IEEE

Load Recognition With Few-Shot Transfer Learning Based on Meta-Learning and Relational Network in Non-Intrusive Load Monitoring

Abstract: Non-intrusive load monitoring (NILM) monitors the operating status and power consumption of residential appliances with only one main meter, providing a new measure for energy management.