@inproceedings{0c308db1bbbd49e892f2cf9e1d0759e4,
title = "Short term wind speed forecasting and wind energy estimation: A case study of Rajasthan",
abstract = "Wind power has increased in recent years to meet the growing energy demand. Accurate short term wind energy forecast is important for optimal scheduling of the wind farms. Increasing the accuracy can help the power system operators to increase the reliability of energy supply. A Nonlinear Autoregressive Network with Exogenous Inputs (NARX) Network is applied to predict hourly wind speed and power. Meteorological variables are taken as exogenous variables for wind speed prediction. Geographical area under study is Jaisalmer in Rajasthan. Wind data is obtained for this location from National Renewable Energy Laboratory (NREL) for one year. Comparison of the wind speed prediction of NARX model with linear regression and persistence model is also carried out. The performance of the test results is done using statistical error measurements like MAE, RMSE and MAPE. The results obtained with NARX network are found to be promising.",
keywords = "Forecasting, NARX Network, Persistence model linear regression, Wind power, Wind speed",
author = "Baby, {Chinnu Mariam} and Kusum Verma and Rajesh Kumar",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 1st International Conference on Computer, Communications and Electronics, COMPTELIX 2017 ; Conference date: 01-07-2017 Through 02-07-2017",
year = "2017",
month = aug,
day = "7",
doi = "10.1109/COMPTELIX.2017.8003978",
language = "English",
series = "2017 International Conference on Computer, Communications and Electronics, COMPTELIX 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "275--280",
booktitle = "2017 International Conference on Computer, Communications and Electronics, COMPTELIX 2017",
address = "United States",
}