摘要
通过分析达坂城风电场风速数据并建立ARMA模型,基于时间序列分析法实现了提前1h风速预测,分析预测结果证明预测时间和风速震荡性是影响风速预测精度的主要因素,为更长时间的风速预测提供理论基础。
The paper built ARMA model by analyzing the wind speed data obtained in Dabancheng wind farm. Wind speed forecasting of the wind farm one hour in advance is realized based on time series analysis. The forecasting result proves that forecasting time length and vibratility of wind speed are main reasons to affect forecasting precision, and it provides theory basic for longer time forecasting.
出处
《电网与清洁能源》
2008年第7期52-55,共4页
Power System and Clean Energy
作者简介
邵璠（1982-），女，硕士研究生。主要研究方向为计算机控制与自动化网络。
