Wind power forecasting using the k-nearest neighbors algorithm

The paper deals with a modeling procedure which aims to predict the power output of wind farm electricity generators. The following modeling steps are proposed: factor selection, raw data pretreatment, model evaluation and optimization. Both heuristic and formal methods are combined to construct the model. The basic modeling approach here is the k-nearest neighbors method.