Search results
- 1.0560650 - ÚVGZ 2023 RIV GB eng J - Journal Article
Ghafarian, F. - Wieland, R. - Luettschwager, D. - Nendel, Claas
Application of extreme gradient boosting and Shapley Additive explanations to predict temperature regimes inside forests from standard open-field meteorological data.
Environmental Modelling & Software. Roč. 156, OCT (2022), č. článku 105466. ISSN 1364-8152. E-ISSN 1873-6726
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : Cooling effect * Machine learning * Ensemble method * Ecosystem services
OECD category: Water resources
Impact factor: 4.9, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S1364815222001700?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0333512File Download Size Commentary Version Access 1-s2.0-S1364815222001700-main.pdf 4 3.3 MB Publisher’s postprint open-access - 2.0473690 - ÚVGZ 2017 RIV CZ cze V - Research Report
Farda, Aleš - Štěpánek, Petr - Zahradníček, Pavel - Rajdl, Kamil - Meitner, Jan
Predikční modely výkonu fotovoltaických a větrných elektráren na základě modelových výstupů z modelu ALADIN a modelu IFS.
[Forecasting models of solar powerplants and wind farms production based on numerical weather prediction models.]
České Budějovice: E.ON Energie, a.s., 2016. 21 s.
Source of funding: N - Non-public resources
Keywords : renewable energy * solar power plants * wind farms * numerical weather prediction * ensemble method
Subject RIV: DG - Athmosphere Sciences, Meteorology
Permanent Link: http://hdl.handle.net/11104/0270817 - 3.0341655 - ÚCHP 2011 RIV DE eng C - Conference Paper (international conference)
Smith, W.R. - Lísal, Martin
Molecular Simulation of Reaction and Adsorption in Nanochemical Devices: Increase of Reaction Conversion by Separation of a Product from the Reaction Mixture.
Lecture Notes in Computer Science. Berlin: Springer, 2004 - (Gavrilova, M.; Kumar, V.; Mun, Y.; Tan, C.; Gervasi, O.), s. 392-401. ISBN 3-540-22056-9. ISSN 0302-9743.
[International Conference on Computational Science and Its Applications (ICSSA 2004). Assisi (IT), 14.05.2004-17.05.2004]
Institutional research plan: CEZ:AV0Z4072921
Keywords : reaction ensemble method * computer-simulation * dynamics simulation
Subject RIV: CF - Physical ; Theoretical Chemistry
Permanent Link: http://hdl.handle.net/11104/0184570