Evaluation of conventional and high-performance routine solar radiation measurements for improved solar resource, climatological trends, and radiative modeling
By Christian A. Gueymard, D. Myers. 2009
138 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b0db8fbbb280a85ee89b29d759e9f9a0565c7217
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
- Joshua S. Stein
- Christian A. Gueymard
- Pierre Ineichen
- S. Pelland
- D. Thevenard
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Direct and indirect uncertainties in the prediction of tilted irradiance for solar engineering applications (2009, methodology): “This is also apparent in previous results ( Gueymard and Myers, 2009 ), where the performance structure of various transposition models was found to be dependent on the frequency distribution of the Ed/E ratio, which is a strong function of cloudiness.”
- Global horizontal irradiance clear sky models : implementation and analysis. (2012, background): “58 It is important to remember that the irradiance sensors also have a certain amount of error, generally in the range of 2% to 5% [100, 101] for well maintained and calibrated instruments, but sometimes greater.”
- Identification of periods of clear sky irradiance in time series of GHI measurements (2016, unknown): “For most GHI sensors, both thermopiles and silicon-based sensors, the sensor error is about 5% and at best it is 2% (Gueymard and Myers, 2009; Reda, 1998).”