A learnable kernel machine for short-term load forecasting

  title={A learnable kernel machine for short-term load forecasting},
  author={Lin Zhang and Guang Dai and Yijia Cao and Guixiang Zhai and Zhaoyan Liu},
  journal={2009 IEEE/PES Power Systems Conference and Exposition},
Short-term load forecasting is very important for decision making in power system operation and planning. During the last several years, kernel machines have been widely employed for short-term forecasting. Owing to the inherent limitations, the corresponding forecasting accuracy can be impaired. To overcome the limitations, this paper develops a novel kernel machine, hereafter called learnable kernel machine, for shortterm load forecasting. The proposed method possesses several appealing… CONTINUE READING