A4 Article in conference proceedings
GA-ANN for Short-Term Wind Energy Prediction (2011)
Kolhe, M., Lin, T. C., & Maunuksela, J. (2011). GA-ANN for Short-Term Wind Energy Prediction. In 2011 Asia-Pacific Power and Energy Engineering Conference (pp. 6). New York: IEEE. doi: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
Open Access: Publication channel is not openly available
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