A broadband simplified version of the Solis clear sky model
By Pierre Ineichen. 2008
287 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/eeeb907de451c9c2b2970bd2c02932b0425e1f5c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- H. Pedro
- Clifford W. Hansen
- Matthew J. Reno
- Joshua S. Stein
- Dazhi Yang
- Carlos F. M. Coimbra
- Jan Kleissl
- M. Muselli
In Environmental Engineering
- Carlos F. M. Coimbra
- H. Pedro
- Matthew J. Reno
- Clifford W. Hansen
- Dazhi Yang
- Jan Kleissl
- Joshua S. Stein
- M. Muselli
In Global and Planetary Change
- Clifford W. Hansen
- Matthew J. Reno
- Joshua S. Stein
- Carlos F. M. Coimbra
- H. Pedro
- Dazhi Yang
- Jan Kleissl
- M. Muselli
Citations in the corpus
- History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining (2018, methodology): “Well-validated models with good performances include REST2 (Gueymard, 2008), McClear (Lefèvre et al., 2013), and Ineichen (Ineichen, 2008).”
- Global horizontal irradiance clear sky models : implementation and analysis. (2012, methodology): “(47) Some authors have tried to remove this dependence of Linke turbidity on air mass. Ineichen proposed an air mass independent formulation for the Linke turbidity [21] that has the advantages of being solar altitude independent and matches the original Linke turbidity factor at air mass 2.”
- Forecasting of preprocessed daily solar radiation time series using neural networks (2010, methodology): “In our case, we preferred the simplified “Solis clear sky” model (Ineichen, 2008) based on radiative transfer calculations and the Lambert–Beer relation (Mueller et al.”