Assessment of spatial and temporal variability in the US solar resource from radiometric measurements and predictions from models using ground-based or satellite data

By Christian A. Gueymard, S. Wilcox. 2011

186 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/50efa405b46314073172d6ad6a649bcc3ecb0628

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

1. Pierre Pinson
2. Faranak Golestaneh
3. Hoay Beng Gooi

In Renewable Energy, Sustainability and the Environment

1. Pierre Pinson
2. Faranak Golestaneh
3. Hoay Beng Gooi

Citations in the corpus

• Generation and evaluation of space–time trajectories of photovoltaic power (2016, background): “Gueymard and Wilcox [13] have presented a general investigation on long-term variability of solar resources in united states.”