A critical review on the estimation of daily global solar radiation from sunshine duration

By M. Yorukoglu, A. Celik. 2006

200 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/4d4b810cb63c47f7e09e3f381b3eac2bd2465e81

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. Shi Su
2. Fei Wang
3. Zengqiang Mi
4. Hongshan Zhao

In Renewable Energy, Sustainability and the Environment

1. Shi Su
2. Fei Wang
3. Zengqiang Mi
4. Hongshan Zhao

Citations in the corpus

• Short-Term Solar Irradiance Forecasting Model Based on Artificial Neural Network Using Statistical Feature Parameters (2012, methodology): “Three different error statistical indicators including mean absolute percentage error (MAPE), root mean square error (RMSE) and mean absolute bias error (MABE) are selected to evaluate the forecast accuracy of the models [24], these error statistical indicators are calculated according to Formulas (”
• Linear Regression Model in Estimating Solar Radiation in Perlis (2012, background): “24% of the total land area of Malaysia, with a population about 204450 people [10].”