Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Landelius P"'
Weather forecasting has seen a shift in methods from numerical simulations to data-driven systems. While initial research in the area focused on deterministic forecasting, recent works have used diffusion models to produce skillful ensemble forecasts
Externí odkaz:
http://arxiv.org/abs/2410.05431
In recent years, machine learning has established itself as a powerful tool for high-resolution weather forecasting. While most current machine learning models focus on deterministic forecasts, accurately capturing the uncertainty in the chaotic weat
Externí odkaz:
http://arxiv.org/abs/2406.04759
The rise of accurate machine learning methods for weather forecasting is creating radical new possibilities for modeling the atmosphere. In the time of climate change, having access to high-resolution forecasts from models like these is also becoming
Externí odkaz:
http://arxiv.org/abs/2309.17370
Gridded global horizontal irradiance (GHI) databases are fundamental for analysing solar energy applications' technical and economic aspects, particularly photovoltaic applications. Today, there exist numerous gridded GHI databases whose quality has
Externí odkaz:
http://arxiv.org/abs/2208.04127
Publikováno v:
Energy and AI, Vol 15, Iss , Pp 100331- (2024)
Gridded global horizontal irradiance (GHI) databases are fundamental for analysing solar energy applications' technical and economic aspects, particularly photovoltaic applications. Today, there exist numerous gridded GHI databases whose quality has
Externí odkaz:
https://doaj.org/article/5f562c93ccb14edd8a54cc2ca3b8e4ff
Publikováno v:
Discover Oncology, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract Background The incidence of uveal melanoma increases with latitude. In this study, we examine the importance of latitude for uveal melanoma prognosis. Methods All uveal melanoma patients born in Sweden between 1947 and 1990 were included (n
Externí odkaz:
https://doaj.org/article/6716dca0488a4d16bd91cd2aef2e498d
Akademický článek
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Autor:
Jürgen Dersch, Marion Schroedter-Homscheidt, Kacem Gairaa, Natalie Hanrieder, Tomas Landelius, Magnus Lindskog, Stefan C. Müller, Lourdes Ramirez Santigosa, Tobias Sirch, Stefan Wilbert
Publikováno v:
Meteorologische Zeitschrift, Vol 28, Iss 3, Pp 235-253 (2019)
The impact of combined direct normal irradiation nowcasts on revenues of two different concentrating solar power plant technologies under a time-of-delivery tariff is investigated. The applied tariff scheme offers considerably increased remuneration
Externí odkaz:
https://doaj.org/article/49ae63d6904e43fbbfbb1aab348467dd
Autor:
Dijana Djureinovic, Victor Pontén, Per Landelius, Sahar Al Sayegh, Kai Kappert, Masood Kamali-Moghaddam, Patrick Micke, Elisabeth Ståhle
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Background The overall prognosis of non-small cell lung cancer (NSCLC) is poor, and currently only patients with localized disease are potentially curable. Therefore, preferably non-invasively determined biomarkers that detect NSCLC patients
Externí odkaz:
https://doaj.org/article/2b37e0439d794044857b7c3cffa7fc1e
Publikováno v:
Advances in Science and Research, Vol 15, Pp 39-44 (2018)
In this article the performance for short-range solar radiation forecasts by the global deterministic and ensemble models from the European Centre for Medium-Range Weather Forecasts (ECMWF) is compared with an ensemble of the regional mesoscale mo
Externí odkaz:
https://doaj.org/article/05ca6ae4b6d04439b7ff9b2ec63970fe