Short-term probabilistic forecasting for regional wind power using distance-weighted kernel density estimation

As the integration of wind power into the power grid increases rapidly, the total output of the regional wind farms has become the concern of the power system operators and market traders. This study proposes a short-term probabilistic forecast model for this regional application. The uncertainty information provided by the proposed model can help the users make better decisions in the power syste...