DocumentCode
3250218
Title
Prediction of wind energy using intelligent approach
Author
Rizwan, M. ; Saini, Shrikant ; Singh, Upendra
Author_Institution
Dept. of Electr. Eng., Delhi Technol. Univ., New Delhi, India
fYear
2012
fDate
6-8 Dec. 2012
Firstpage
1
Lastpage
5
Abstract
Wind energy is one of the most promising renewable energy sources for power generation. As India has wind energy potential of around 45195 MW and the installed capacity is 17967 MW only. Keeping in view of the aforesaid prediction of wind energy is an important study for harnessing the wind energy potential. Various conventional and intelligent models are available in the literature for the prediction of wind Power. In this paper fuzzy logic and ANN based models have been developed and presented for the prediction of wind power using wind speed and air density as input parameters. Obtained results are compared with the available models and found better. Therefore, the proposed ANN model may be useful for the prediction of wind power.
Keywords
fuzzy logic; neural nets; power engineering computing; renewable energy sources; wind power plants; ANN based models; India; air density; fuzzy logic based models; intelligent models; power 17967 MW; power generation; renewable energy sources; wind energy potential; wind energy prediction; wind power prediction; wind speed; Artificial neural networks; Atmospheric modeling; Fuzzy logic; Predictive models; Wind energy; Wind power generation; Wind speed; Wind Energy; artificial neural network; fuzzy logic;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics (IICPE), 2012 IEEE 5th India International Conference on
Conference_Location
Delhi
ISSN
2160-3162
Print_ISBN
978-1-4673-0931-8
Type
conf
DOI
10.1109/IICPE.2012.6450459
Filename
6450459
Link To Document