The Point and Interval Forecasting of Solar Irradiance with an Active Gaussian Process

A Gaussian process regression (GPR) with active learning is proposed for developing the solar irradiance point and interval forecasting models, which consider the spatial-temporal information collected from a targeted site and a number of neighbouring sites. To enhance the performance of the GPR-based model an active learning process is developed for constructing an ad-hoc input feature set, selec...