Review and statistical analysis of different global solar radiation sunshine models

By M. Despotovic, V. Nedić, D. Despotović, S. Cvetanović. 2015

350 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/0dc929f03a71d357aac08bee5e7ee27720f0e28d

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. N. Al‐Ansari
2. Mohammed Majeed Hameed
3. M. AlOmar
4. Faidhalrahman Khaleel

Citations in the corpus

• Evaluating solar energy technical and economic potential on rooftops in an urban setting: the city of Lethbridge, Canada (2018, background): “MBE illustrates the model’s inclination towards radiation overestimation (positive value) or underestimation (negative value) [50].”
• An Extra Tree Regression Model for Discharge Coefficient Prediction: Novel, Practical Applications in the Hydraulic Sector and Future Research Directions (2021, background): “,is indicator is used widely to assess the reliability of the predicted model [49, 50].”