A review of wind power and wind speed forecasting methods with different time horizons
University of Calgary · University of Tasmania
Abstract
In recent years, environmental considerations have prompted the use of wind power as a renewable energy resource. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Thus, several wind power or wind speed forecasting methods have been reported in the literature over the past few years. This paper provides insight on the foremost forecasting techniques, associated with wind power and speed, based on numeric weather prediction (NWP), statistical approaches, artificial neural network (ANN) and hybrid techniques over different time-scales. An overview of comparative…
Citation impact
- FWCI
- 20.89
- Percentile
- 100%
- References
- 49
Authors
4Topics & keywords
- Intermittency
- Wind power
- Wind power forecasting
- Wind speed
- Renewable energy
- Meteorology
- Computer science
- Artificial neural network
- Affordable and clean energy