{"title":"Wind Speed and Power Forecasting - A Review and Incorporating Asymmetric Loss","authors":"D. Ambach, P. Vetter","doi":"10.1109/SMRLO.2016.29","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":254910,"journal":{"name":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMRLO.2016.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
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.