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of 9
pro vyhledávání: '"Bentsen, Lars Ødegaard"'
With an ever-increasing number of sensors in modern society, spatio-temporal time series forecasting has become a de facto tool to make informed decisions about the future. Most spatio-temporal forecasting models typically comprise distinct component
Externí odkaz:
http://arxiv.org/abs/2303.13177
Publikováno v:
Appied Energy 333 (2023) 120565
This study focuses on multi-step spatio-temporal wind speed forecasting for the Norwegian continental shelf. The study aims to leverage spatial dependencies through the relative physical location of different measurement stations to improve local win
Externí odkaz:
http://arxiv.org/abs/2208.13585
Publikováno v:
J. Phys.: Conf. Ser. 2265 022035 (2022)
With the increased penetration of wind energy into the power grid, it has become increasingly important to be able to predict the expected power production for larger wind farms. Deep learning (DL) models can learn complex patterns in the data and ha
Externí odkaz:
http://arxiv.org/abs/2201.03229
Publikováno v:
In Journal of Cleaner Production 1 January 2024 434
Publikováno v:
In Applied Energy 1 March 2023 333
Autor:
Bentsen, Lars Ødegaard1 (AUTHOR) l.o.bentsen@its.uio.no, Warakagoda, Narada Dilp1 (AUTHOR) paal.engelstad@its.uio.no, Stenbro, Roy2 (AUTHOR) roy.stenbro@ife.no, Engelstad, Paal1 (AUTHOR)
Publikováno v:
Energies (19961073). Oct2023, Vol. 16 Issue 20, p7179. 23p.
A study investigating Transformer and LSTM models applied to raw audio for automatic generation of counterpoint was conducted. The dataset was a collection of raw audio waveforms of various pieces of Bach’s work, played on different instruments. Ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26e6b52277478490a603e03e969ae3c7