Probability distributions for wind speed volatility characteristics: A case study of Northern Norway
Chen, Hao, Anfinsen, Stian Normann, Birkelund, Yngve, Yuan, Fuqing
Published in Energy reports (01.11.2021)
Published in Energy reports (01.11.2021)
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Journal Article
Noise-intensification data augmented machine learning for day-ahead wind power forecast
Chen, Hao, Birkelund, Yngve, Batalden, Bjørn-Morten, Barabadi, Abbas
Published in Energy reports (01.11.2022)
Published in Energy reports (01.11.2022)
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Journal Article
The first magnetotelluric image of the lithospheric-scale geological architecture in central Svalbard, Arctic Norway
Beka, Thomas I., Smirnov, Maxim, Bergh, Steffen G., Birkelund, Yngve
Published in Polar Research (01.01.2015)
Published in Polar Research (01.01.2015)
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Journal Article
Book Review
Data-augmented sequential deep learning for wind power forecasting
Chen, Hao, Birkelund, Yngve, Zhang, Qixia
Published in Energy conversion and management (15.11.2021)
Published in Energy conversion and management (15.11.2021)
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Journal Article
Data science in wind energy: a case study for Norwegian offshore wind
Chen, Hao, Birkelund, Yngve, Zhang, Qixia
Published in Journal of physics. Conference series (01.11.2023)
Published in Journal of physics. Conference series (01.11.2023)
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Journal Article
Wind over complex terrain – Microscale modelling with two types of mesoscale winds at Nygårdsfjell
Bilal, Muhammad, Birkelund, Yngve, Homola, Matthew, Virk, Muhammad Shakeel
Published in Renewable energy (01.12.2016)
Published in Renewable energy (01.12.2016)
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Journal Article