Hybrid Approach for Short Term Wind Power Forecasting

Vasanth Reddy; Samidha Mridul Verma; Kusum Verma; Rajesh Kumar

doi:10.1109/ICCCNT.2018.8494034

Hybrid Approach for Short Term Wind Power Forecasting

Vasanth Reddy
, Samidha Mridul Verma
, Kusum Verma
, Rajesh Kumar

Malaviya National Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538644300
DOIs	https://doi.org/10.1109/ICCCNT.2018.8494034
Publication status	Published - 16 Oct 2018
Externally published	Yes
Event	9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018 - Bengaluru, India Duration: 10 Jul 2018 → 12 Jul 2018

Publication series

Name	2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

Conference

Conference	9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
Country/Territory	India
City	Bengaluru
Period	10/07/18 → 12/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Wavelet
wind farm
wind forecasting
wind power

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICCCNT.2018.8494034

Cite this

Reddy, V., Verma, S. M., Verma, K., & Kumar, R. (2018). Hybrid Approach for Short Term Wind Power Forecasting. In 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018 Article 8494034 (2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCCNT.2018.8494034

Reddy, Vasanth ; Verma, Samidha Mridul ; Verma, Kusum et al. / Hybrid Approach for Short Term Wind Power Forecasting. 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018).

@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",

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Reddy, V, Verma, SM, Verma, K & Kumar, R 2018, Hybrid Approach for Short Term Wind Power Forecasting. in 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018., 8494034, 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018, Institute of Electrical and Electronics Engineers Inc., 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018, Bengaluru, India, 10/07/18. https://doi.org/10.1109/ICCCNT.2018.8494034

Hybrid Approach for Short Term Wind Power Forecasting. / Reddy, Vasanth; Verma, Samidha Mridul; Verma, Kusum et al.
2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8494034 (2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybrid Approach for Short Term Wind Power Forecasting

AU - Reddy, Vasanth

AU - Verma, Samidha Mridul

AU - Verma, Kusum

AU - Kumar, Rajesh

PY - 2018/10/16

Y1 - 2018/10/16

N2 - 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.

AB - 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.

KW - Wavelet

KW - wind farm

KW - wind forecasting

KW - wind power

UR - https://www.scopus.com/pages/publications/85056857673

U2 - 10.1109/ICCCNT.2018.8494034

DO - 10.1109/ICCCNT.2018.8494034

M3 - Conference contribution

AN - SCOPUS:85056857673

T3 - 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

BT - 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

Y2 - 10 July 2018 through 12 July 2018

ER -

Reddy V, Verma SM, Verma K, Kumar R. Hybrid Approach for Short Term Wind Power Forecasting. In 2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8494034. (2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018). doi: 10.1109/ICCCNT.2018.8494034

Hybrid Approach for Short Term Wind Power Forecasting

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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