Hybrid Approach for Short Term Wind Power Forecasting

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 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 languageEnglish
Title of host publication2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538644300
DOIs
Publication statusPublished - 16 Oct 2018
Externally publishedYes
Event9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018 - Bengaluru, India
Duration: 10 Jul 201812 Jul 2018

Publication series

Name2018 9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018

Conference

Conference9th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2018
Country/TerritoryIndia
CityBengaluru
Period10/07/1812/07/18

Keywords

  • Wavelet
  • wind farm
  • wind forecasting
  • wind power

ASJC Scopus subject areas

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

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