Influencing Factors and Accuracy Improvement Methods for the Wind Power Prediction of Offshore Wind Farms
Compared to onshore wind power projects,the unique geographical environments of offshore wind farms such as the high specific heat capacity of seawater and the thermal effects of offshore wind flow make the offshore wind re-sources more random and intermittent,leading to significant variation and prediction difficulty of the offshore wind pow-er.At present,researches on wind power prediction mainly focus on onshore wind power,with few analysis and discus-sion on offshore wind power models.With the analysis on the characteristics of offshore wind resources and wind power prediction cases,an offshore wind farm in northern China is studied as an example,and the key influencing factors in offshore wind power prediction models are analyzed in depth.Various issues at the algorithmic and non-algorithmic levels are identified,and corresponding ideas and methods for potential improvement schemes are proposed,which can useful reference for further research.
offshore wind powerwind power predictiondata mining
NETL
NSTL
万方数据
