Comparison Accuracy W-NN and WD-SVM Method in Predicted Wind Power Model on Wind Farm Pandansimo

A. Prasetyowati, D. Sudiana, H. Sudibyo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Wind power is one of the environmentally friendly renewable energy systems. The biggest obstacle is the operation of wind energy at intermittent wind speeds. Unstable wind speed conditions tend to be very influential in the production of electricity produced. For this reason, this study aims to create and compare wind power prediction models using the WD-NN and WD-SVM methods in wind fields that have very high intermittent levels such as Pandansimo wind farms.

Original languageEnglish
Title of host publication4th International Conference on Nano Electronics Research and Education
Subtitle of host publicationToward Advanced Imaging Science Creation, ICNERE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538675533
DOIs
Publication statusPublished - 14 Feb 2019
Event4th International Conference on Nano Electronics Research and Education, ICNERE 2018 - Hamamatsu, Japan
Duration: 27 Nov 201829 Nov 2018

Publication series

Name4th International Conference on Nano Electronics Research and Education: Toward Advanced Imaging Science Creation, ICNERE 2018

Conference

Conference4th International Conference on Nano Electronics Research and Education, ICNERE 2018
CountryJapan
CityHamamatsu
Period27/11/1829/11/18

Keywords

  • Intermittent
  • Prediction
  • WD-NN
  • WD-SVM
  • Wind Power

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    Prasetyowati, A., Sudiana, D., & Sudibyo, H. (2019). Comparison Accuracy W-NN and WD-SVM Method in Predicted Wind Power Model on Wind Farm Pandansimo. In 4th International Conference on Nano Electronics Research and Education: Toward Advanced Imaging Science Creation, ICNERE 2018 [8642585] (4th International Conference on Nano Electronics Research and Education: Toward Advanced Imaging Science Creation, ICNERE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICNERE.2018.8642585