Clear-sky irradiance predictions for solar resource mapping and large-scale applications: Improved validation methodology and detailed performance analysis of 18 broadband radiative models
By Christian A. Gueymard. 2012
318 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Environmental Engineering, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/14ee1df9669ea9194aba7dda1ab137c683e648ea
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
- Clifford W. Hansen
- Matthew J. Reno
- H. Pedro
- Joshua S. Stein
- Dazhi Yang
- Carlos F. M. Coimbra
- Jan Kleissl
- Bella Espinar
In Environmental Engineering
- Carlos F. M. Coimbra
- H. Pedro
- Matthew J. Reno
- Clifford W. Hansen
- Dazhi Yang
- Jan Kleissl
- Joshua S. Stein
- Christian A. Gueymard
In Global and Planetary Change
- Clifford W. Hansen
- Matthew J. Reno
- Joshua S. Stein
- Carlos F. M. Coimbra
- H. Pedro
- Dazhi Yang
- Jan Kleissl
- Bella Espinar
Citations in the corpus
- Global horizontal irradiance clear sky models : implementation and analysis. (2012, background): “Christian Gueymard’s REST2 model predicts cloudless-sky broadband irradiance, illuminance, and photosynthetically active radiation [29].”
- History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining (2018, methodology): “40 for very clean to hazy atmospheric conditions, but extremely high values above 1 do occur in various situations or regions Gueymard (2012b); LaraFanego et al.”
- McClear: a new model estimating downwelling solar radiation at ground level in clear-sky conditions (2013, background): “As it describes the SSI in a cloud-free atmosphere, it estimates a realistic upper limit of the SSI (Gueymard, 2012; Long and Ackerman, 2000).”
- Identification of periods of clear sky irradiance in time series of GHI measurements (2016, unknown): “Harrison, Chalmers, and Hogan used GHI and diffuse to determine cloud amount and discriminate between stratiform and convective cloud types (Harrison et al., 2008).”