Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Maimouna Diagne"'
Publikováno v:
Energy Procedia
Energy Procedia, Elsevier, 2014, 57, pp.1044-1052. ⟨10.1016/j.egypro.2014.10.089⟩
Energy Procedia, Elsevier, 2014, 57, pp.1044-1052. ⟨10.1016/j.egypro.2014.10.089⟩
International audience; In this work, we investigate the use of artificial neural networks (ANNs) as a post-processing technique in order to improve mesoscale WRF solar radiation outputs.More precisely, one day ahead (with a 1 h temporal resolution)
Publikováno v:
Solar Energy
Solar Energy, Elsevier, 2014, 105, pp.99-108. ⟨10.1016/j.solener.2014.03.016⟩
Energy Procedia
Energy Procedia, Elsevier, 2014, 57, pp.1364-1373. ⟨10.1016/j.egypro.2014.10.127⟩
Solar Energy, Elsevier, 2014, 105, pp.99-108. ⟨10.1016/j.solener.2014.03.016⟩
Energy Procedia
Energy Procedia, Elsevier, 2014, 57, pp.1364-1373. ⟨10.1016/j.egypro.2014.10.127⟩
An efficient use of solar energy production requires reliable forecast information on surface solar irradiance. This article aims at providing a Model Output Statistics (MOS) method of improving solar irradiance forecasts from Weather Research and Fo
Publikováno v:
Renewable and Sustainable Energy Reviews
Renewable and Sustainable Energy Reviews, Elsevier, 2013, 27, pp.65-76. ⟨10.1016/j.rser.2013.06.042⟩
Renewable and Sustainable Energy Reviews, Elsevier, 2013, 27, pp.65-76. ⟨10.1016/j.rser.2013.06.042⟩
International audience; Integration of solar energy into the electricity network is becoming essential because of its continually increasing growth in usage. An efficient use of the fluctuating energy output of photovoltaic (PV) systems requires reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71edc29949a0491da5c0f82cb573519d
https://hdl.handle.net/1959.8/152788
https://hdl.handle.net/1959.8/152788