The total solar radiation time series simulation in Athens, using neural networks

2000 ◽  
Vol 66 (3-4) ◽  
pp. 185-197 ◽  
Author(s):  
G. Mihalakakou ◽  
M. Santamouris ◽  
D. N. Asimakopoulos
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Solar Radiation ◽  
Total Solar Radiation ◽  
Time Series Simulation ◽  
Radiation Time

scholarly journals Forecasting of preprocessed daily solar radiation time series using neural networks

Solar Energy ◽  
2010 ◽  
Vol 84 (12) ◽  
pp. 2146-2160 ◽  
Author(s):  
Christophe Paoli ◽  
Cyril Voyant ◽  
Marc Muselli ◽  
Marie-Laure Nivet
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Solar Radiation ◽  
Radiation Time

Dynamic Modeling of Solar Radiation Disturbances Based on a Biomimetic Cloud Shading Model

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Jesús García ◽  
Iván Portnoy ◽  
Ricardo Vasquez Padilla ◽  
Marco E. Sanjuan
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
Control Strategies ◽  
Ground Level ◽  
Direct Solar Radiation ◽  
Complex Phenomenon ◽  
Two Dimensional ◽  
Multi Objective Optimization ◽  
Tuning Parameters ◽  
Radiation Time

Variation in direct solar radiation is one of the main disturbances that any solar system must handle to maintain efficiency at acceptable levels. As known, solar radiation profiles change due to earth's movements. Even though this change is not manipulable, its behavior is predictable. However, at ground level, direct solar radiation mainly varies due to the effect of clouds, which is a complex phenomenon not easily predictable. In this paper, dynamic solar radiation time series in a two-dimensional (2D) spatial domain are obtained using a biomimetic cloud-shading model. The model is tuned and compared against available measurement time series. The procedure uses an objective function based on statistical indexes that allow extracting the most important characteristics of an actual set of curves. Then, a multi-objective optimization algorithm finds the tuning parameters of the model that better fit data. The results showed that it is possible to obtain responses similar to real direct solar radiation transients using the biomimetic model, which is useful for other studies such as testing control strategies in solar thermal plants.

scholarly journals A New Method for Fusion of Measured and Model-derived Solar Radiation Time-series

2014 ◽  
Vol 48 ◽  
pp. 1617-1626 ◽  
Author(s):  
Theresa Mieslinger ◽  
Felix Ament ◽  
Kaushal Chhatbar ◽  
Richard Meyer
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
New Method ◽  
Radiation Time

scholarly journals Reconstruction of global solar radiation time series from 1933 to 2013 at the Izaña Atmospheric Observatory

2014 ◽  
Vol 7 (9) ◽  
pp. 3139-3150 ◽  
Author(s):  
R. D. García ◽  
E. Cuevas ◽  
O. E. García ◽  
V. E. Cachorro ◽  
P. Pallé ◽  
...  
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
North Atlantic ◽  
Sunshine Duration ◽  
Global Solar Radiation ◽  
Global Scale ◽  
High Mountain ◽  
Atlantic Region ◽  
Clear Sky ◽  
Radiation Time

Abstract. This paper presents the reconstruction of the 80-year time series of daily global solar radiation (GSR) at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (The Canary Islands, Spain). For this purpose, we combine GSR estimates from sunshine duration (SD) data using the Ångström–Prescott method over the 1933/1991 period, and GSR observations directly performed by pyranometers between 1992 and 2013. Since GSR measurements have been used as a reference, a strict quality control has been applied based on principles of physical limits and comparison with LibRadtran model. By comparing with high quality GSR measurements, the precision and consistency over time of GSR estimations from SD data have been successfully documented. We obtain an overall root mean square error (RMSE) of 9.2% and an agreement between the variances of GSR estimations and GSR measurements within 92%. Nonetheless, this agreement significantly increases when the GSR estimation is done considering different daily fractions of clear sky (FCS). In that case, RMSE is reduced by half, to about 4.5%, when considering percentages of FCS > 40% (~ 90% of days in the testing period). Furthermore, we prove that the GSR estimations can monitor the GSR anomalies in consistency with GSR measurements and, then, can be suitable for reconstructing solar radiation time series. The reconstructed IZO GSR time series between 1933 and 2013 confirms change points and periods of increases/decreases of solar radiation at Earth's surface observed at a global scale, such as the early brightening, dimming and brightening. This fact supports the consistency of the IZO GSR time series presented in this work, which may be a reference for solar radiation studies in the subtropical North Atlantic region.

scholarly journals Analysis of residuals in daily solar radiation time series

1997 ◽  
Vol 11 (1) ◽  
pp. 97-105 ◽  
Author(s):  
M.Yusof Sulaiman ◽  
W.M. Hlaing oo ◽  
Mahdi Abd. Wahab ◽  
Z.Abidin Sulaiman
Keyword(s):  
Time Series ◽  
Solar Radiation ◽  
Radiation Time
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