As one of the typical clean energy sources, the power prediction of wind power is crucial for power system scheduling, stability maintenance, and market trading. However, due to the intermittency and uncertainty of wind energy, wind power prediction faces many challenges. This paper overviews the basic concepts and application scenarios of wind power prediction, and systematically analyzes the methods that currently exist for wind power forecasting. Furthermore, this paper summarizes the key factors which affect the prediction accuracy, such as wind speed variations, unit characteristics, meteorological data quality, and geographic environment. In addition, this paper also introduces the commonly used error and reliability assessment metrics. Finally, the future research direction of wind power prediction is discussed the references for research in related fields are also provided.



