@inproceedings{2d1c15489a804b74b3f53696898d32ba,
title = "Hybrid Approach for Short Term Wind Power Forecasting",
abstract = "Wind is one of the most important parts of renewable energy sources and optimal scheduling of wind power in wind farms is essential. Therefore, accurate prediction is a necessary task to be done in order to have a clear picture of how this wind energy can be utilized to its maximum potential. In this paper, wind speed is forecasted using it as a signal for wavelet transformation and the coefficients are predicted to obtain the forecasted wind speeds. The geographical location under study is taken at Jodhpur in Rajasthan, India. The performance evaluation of the proposed method is calculated using the different statistical error measures like RMSE, MAPE and MAE.",
keywords = "Wavelet, wind farm, wind forecasting, wind power",
author = "Vasanth Reddy and Verma, {Samidha Mridul} and Kusum Verma and Rajesh Kumar",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018 ; Conference date: 10-07-2018 Through 12-07-2018",
year = "2018",
month = oct,
day = "16",
doi = "10.1109/ICCCNT.2018.8494034",
language = "English",
series = "2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018",
address = "United States",
}