Neural Network for Estimating Daily Global Solar Radiation Using Temperature, Humidity and Pressure as Unique Climatic Input Variables

@article{Jimenez2016NeuralNF,
  title={Neural Network for Estimating Daily Global Solar Radiation Using Temperature, Humidity and Pressure as Unique Climatic Input Variables},
  author={Victor A. Jimenez and Amelia Barrionuevo and Adrian Will and Sebastian Rodriguez},
  journal={Smart Grid and Renewable Energy},
  year={2016},
  volume={07},
  pages={94-103}
}
Solar radiation is one of the most important parameters for applications, development and research related to renewable energy. However, solar radiation measurements are not a simple task for several reasons. In the cases where data are not available, it is very common the use of computational models to estimate the missing data, which are based mainly on the search for relationships between weather variables, such as temperature, humidity, precipitation, cloudiness, sunshine hours, etc. But… 

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References

SHOWING 1-10 OF 34 REFERENCES
Hourly Solar Radiation Estimation Using Ambient Temperature and Relative Humidity Data
This paper presents hourly solar radiation estimation methods using ambient temperature and relative humidity data. The methods are based on the decomposition model that is calculating each of solar
Estimating global solar radiation from common meteorological data in Aranjuez, Spain
This study aimed to calibrate existing models and develop a new model for estimating global solar radiation data using commonly and available measured meteorological records such as precipitation or
Empirical models for estimating global solar radiation: A review and case study
Development and evaluation of neural network models to estimate daily solar radiation at Córdoba, Argentina
The objective of this work was to develop neural network models of backpropagation type to estimate solar radiation based on extraterrestrial radiation data, daily temperature range, precipitation,
...
1
2
3
4
...