首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Timescale classification in wind forecasting: A review of the state-of-the-art
Authors:Jannik Schütz Roungkvist  Peter Enevoldsen
Institution:1. MHI Vestas Offshore Wind, Aarhus, Denmark;2. Center for Energy Technologies, Aarhus University, Aarhus, Denmark
Abstract:The intermittency of the wind has been reported to present significant challenges to power and grid systems, which intensifies with increasing penetration levels. Accurate wind forecasting can mitigate these challenges and help in integrating more wind power into the grid. A range of studies have presented algorithms to forecast the wind in terms of wind speeds and wind power generation across different timescales. However, the classification of timescales varies significantly across the different studies (2010–2014). The timescale is important in specifying which methodology to use when, as well in uniting future research, data requirements, etc. This study proposes a generic statement on how to classify the timescales, and further presents different applications of these forecasts across the entire wind power value chain.
Keywords:energy forecasting  multiple-step-ahead forecasting  renewable energy integration  time series forecasting  wind power forecasting  wind speed forecasting
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号