Wind Speed and Power Forecasting a Review and Incorporating Asymmetric Loss

被引:7
|
作者
Ambach, Daniel [1 ]
Vetter, Patrick [1 ]
机构
[1] European Univ Viadrina, Dept Stat, POB 1786, D-15207 Frankfurt, Germany
来源
2016 SECOND INTERNATIONAL SYMPOSIUM ON STOCHASTIC MODELS IN RELIABILITY ENGINEERING, LIFE SCIENCE AND OPERATIONS MANAGEMENT (SMRLO) | 2016年
关键词
Wind speed forecasting; Wind power forecasting; Review of wind prediction; time series approaches; SHORT-TERM PREDICTION; TIME-SERIES MODELS; NEURAL-NETWORKS; SELECTION; TURBINES; ENERGY; FARMS;
D O I
10.1109/SMRLO.2016.29
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The energy turnaround in Europe increases the importance of wind speed as well as power predictions. This article provides a review of different forecasting approaches for wind speed and wind power. Moreover, recent time series models are discussed in more detail. The focus of this article are accurate short-and medium-term wind speed and power predictions. Finally, recent wind speed and power out-of-sample results are discussed and the problem of asymmetric loss is covered within this article. Precisely, over-and underestimation of wind power predictions have to be weighted in a different way. Therefore, it is reasonable to introduce an asymmetric accuracy measure. To cover the impact of asymmetric loss on wind speed and power predictions, a small example is presented which covers forecasts up to 24 hours.
引用
收藏
页码:115 / 123
页数:9
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