Clustering Weather Situations with Respect to Prediction of Solar Irradiance by Multiple NWP Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00434056" target="_blank" >RIV/67985807:_____/14:00434056 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3233/978-1-61499-419-0-1207" target="_blank" >http://dx.doi.org/10.3233/978-1-61499-419-0-1207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/978-1-61499-419-0-1207" target="_blank" >10.3233/978-1-61499-419-0-1207</a>

Result language
angličtina
Original language name
Clustering Weather Situations with Respect to Prediction of Solar Irradiance by Multiple NWP Models
Original language description
With the photovoltaic (PV) and concentrating solar power (CSP) forming a growing portion of European power sources, there is a strong demand for a reliable prediction of solar power. Such predictions are mostly provided by physical or statistical models,both of which rely on accurate forecast of solar irradiance. For the short-to-medium-term forecast horizon (hours to days), irradiance forecast is provided mostly by numerical weather prediction (NWP) models. However, in spite of a recent effort to improve irradiance prediction within current NWP models, its quality is still not satisfactory and it is responsible for a majority of uncertainty in photovoltaic power forecasting. A promising method of improving NWP solar irradiance prediction is multi-model approach. This paper presents preliminary results from a data mining approach to combining irradiance forecasts from multiple NWP models.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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