Estimation of solar radiation in Australia from rainfall and temperature observations
By D. Liu, B. Scott. 2001
199 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/a88ad317d4e97ba9d844bbd5d08d2c2c7a387fba
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
- Leonel Lara-Estrada
- Luis Enrique Sucar
- Josef Eitzinger
- M. Dubrovský
- Uwe A. Schneider
- Livia Rasche
- Z. Žalud
- M. Trnka
In Renewable Energy, Sustainability and the Environment
- Leonel Lara-Estrada
- Luis Enrique Sucar
- Josef Eitzinger
- M. Dubrovský
- Uwe A. Schneider
- Livia Rasche
- Z. Žalud
- M. Trnka
Citations in the corpus
- Global solar radiation in Central European lowlands estimated by various empirical formulae (2005, methodology): “Estimation of solar radiation using daily extreme temperatures and sum of precipitation Most of methods applying these input parameters were designed because of the general availability of these inputs (De Jong and Stewart, 1993; Liu and Scott, 2001) from weather stations.”
- Inferring Missing Climate Data for Agricultural Planning Using Bayesian Networks (2018, methodology): “In agricultural research, data gaps have been filled by combining survey and satellite information [3], spatial interpolations [4], introduction of proxy variables [5], and, in the case of climate research, by using the regularized EM algorithm for Gaussian data [6], empirical orthogonal functions [”