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
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;
Conference_Titel :
IPEC, 2010 Conference Proceedings
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7399-1
DOI :
10.1109/IPECON.2010.5697118
