Yayınlanmış 1 Ocak 2012
| Sürüm v1
Dergi makalesi
Açık
Short-mid-term solar power prediction by using artificial neural networks
- 1. Yildiz Tech Univ, Dept Elect Engn, Istanbul, Turkey
- 2. Istanbul Tech Univ, Dept Meteorol, Energy Grp, TR-34469 Istanbul, Turkey
Açıklama
Solar irradiation is one of the major renewable energy sources and technologies related with this source have reached to high level applications. Prediction of solar irradiation shows some uncertainties depending on atmospheric parameters such as temperature, cloud amount, dust and relative humidity. These conditions add new uncertainties to the prediction of this astronomical parameter. In this case, prediction of generated electricity by photovoltaic or other solar technologies could be better than directly solar irradiation.
Dosyalar
bib-d32d8026-2775-4717-b4d6-2da7cb8233b2.txt
Dosyalar
(169 Bytes)
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