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.
| Original language | English |
|---|---|
| Journal | Journal of Forecasting |
| Volume | 39 |
| Issue | 5 |
| Pages (from-to) | 757-768 |
| Number of pages | 12 |
| ISSN | 0277-6693 |
| DOIs | |
| Publication status | Published - Aug 2020 |
Keywords
- energy forecasting
- multiple-step-ahead forecasting
- renewable energy integration
- time series forecasting
- wind power forecasting
- wind speed forecasting
- ENSEMBLE
- TERM
- MODEL
- PERFORMANCE EVALUATION
- MULTISTEP
- SPEED PREDICTION
- OPERATION
- TIME-SERIES
- POWER-SYSTEMS
- OPTIMIZATION