Propose a kernel-based support vector quantile regression (SVQR) model. The proposed SVQR can implement power load probability density forecasting. Analyze the diagram of power load and real-time price by Copula theory. PICP and PINAW are adopted to assess the SVQR. The power load forecast accuracy are assessed by three cases of Singapore.