A4 Article in conference proceedings
GA-ANN for Short-Term Wind Energy Prediction (2011)


Kolhe, M., Lin, T., & Maunuksela, J. (2011). GA-ANN for Short-Term Wind Energy Prediction. In 2011 Asia-Pacific Power and Energy Engineering Conference (pp. 6). IEEE. https://doi.org/10.1109/APEEC.2011.5749029


JYU authors or editors


Publication details

All authors or editors: Kolhe, M.; Lin, T.C.; Maunuksela, Jussi

Parent publication: 2011 Asia-Pacific Power and Energy Engineering Conference

ISBN: 978-1-4244-6253-7

Publication year: 2011

Pages range: 6

Publisher: IEEE

Place of Publication: New York

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/APEEC.2011.5749029

Publication open access: Not open

Publication channel open access:


Keywords: modelling (creation related to information); neural networks (information technology)

Free keywords: Renewable energy; wind power; modeling; neural networks


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2011

Preliminary JUFO rating: Not rated


Last updated on 2021-09-06 at 17:30