DocumentCode
2274480
Title
A comprehensive overview on wind power forecasting
Author
Lydia, M. ; Kumar, Sahoo Subhendu
Author_Institution
Dept. of Electr. & Electron. Eng., Karunya Univ., Coimbatore, India
fYear
2010
fDate
27-29 Oct. 2010
Firstpage
268
Lastpage
273
Abstract
Energy crisis, global warming and depletion of ozone layer are the major factors looming the world today. Adequate utilization of renewable energy sources like wind, solar, biomass etc. prove to be the only alternative. As a result, these industries are rapidly gaining significance. The wind power industry is very promising and it is necessary for the wind farm power prediction to be exact. Prediction models facilitate the integration of wind power with the grid and also forewarn the power system operators by giving weather alerts. They also aid in power system operations planning and economic dispatch. Developing forecasting models is an overwhelming task, due to the random and stochastic nature of wind. This paper presents an overall review on the various wind power forecasting techniques.
Keywords
load forecasting; power generation dispatch; power generation economics; power generation planning; wind power plants; power system economic dispatch; power system operations planning; power system operators; renewable energy sources; weather alerts; wind farm power prediction; wind power forecasting; wind power industry; Artificial neural networks; Computational modeling; Forecasting; Predictive models; Wind forecasting; Wind power generation; Wind speed; ANFIS; EMD; NWP; SVM; data mining; ensemble prediction; entropy; fuzzy logic; grey predictor; neural networks; probabilistic forecasts; wavelets; wind power forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
IPEC, 2010 Conference Proceedings
Conference_Location
Singapore
ISSN
1947-1262
Print_ISBN
978-1-4244-7399-1
Type
conf
DOI
10.1109/IPECON.2010.5697118
Filename
5697118
Link To Document