A Soft Computing Methodology for Estimation and Forecasting of Daily Global Solar Radiation (DGSR)

2018 ◽  
pp. 235-246
Author(s):  
J. Christy Martina ◽  
T. Amudha
Keyword(s):  
Solar Radiation ◽  
Soft Computing ◽  
Computing Methodology ◽  
Global Solar Radiation

scholarly journals Retraction Note to: Temperature-based estimation of global solar radiation using soft computing methodologies

2020 ◽  
Vol 140 (3-4) ◽  
pp. 1553-1553
Author(s):  
Kasra Mohammadi ◽  
Shahaboddin Shamshirband ◽  
Amir Seyed Danesh ◽  
Mohd Shahidan Abdullah ◽  
Mazdak Zamani
Keyword(s):  
Solar Radiation ◽  
Soft Computing ◽  
Global Solar Radiation ◽  
Computing Methodologies

scholarly journals A critical review of theoretical models for estimating global so-lar radiation between 2012-2016 in Nigeria

2017 ◽  
Vol 5 (2) ◽  
pp. 60 ◽  
Author(s):  
Samuel Nwokolo ◽  
Julie Ogbulezie
Keyword(s):  
Solar Radiation ◽  
Soft Computing ◽  
Fuzzy Inference ◽  
Theoretical Models ◽  
Global Solar Radiation ◽  
Empirical Models ◽  
Neural Network Models ◽  
Inference System ◽  
Input Parameters ◽  
Functional Forms

A routinely research of solar radiation is of vital requirement for surveys in agronomy, hydrology, ecology and sizing of the photovoltaic or thermal solar systems, solar architecture, molten salt power plant and supplying energy to natural processes like photosynthesis and estimates of their performances. However, measurement of global solar radiation is not available in most locations across in Nigeria. During the past 5 years in order to estimate global solar radiation on the horizontal surface on both daily and monthly mean daily basis, numerous empirical models have been developed for several locations in Nigeria. As a result, various input parameters have been utilized and different functional forms used. In this study aims at comparing, classifying and reviewing the empirical and soft computing models applied for estimating global solar radiation. The empirical models so far utilized were classified into eight main categories and presented based on the input parameters employed. The models were further reclassified into several main sub-classes and finally represented according to their developing year. On the whole, 145 empirical models and 42 functional forms, 8 artificial neural network models, 1 adaptive neural fuzzy inference system approach, and 1 Autoregressive Moving Average methods were recorded in literature for estimating global solar radiation in Nigeria. This review would provide solar-energy researchers in terms of identifying the input parameters and functional forms widely employed up until now as well as recognizing their importance for estimating global solar radiation using soft computing empirical models in several locations in Nigeria.

RETRACTED ARTICLE: Temperature-based estimation of global solar radiation using soft computing methodologies

2015 ◽  
Vol 125 (1-2) ◽  
pp. 101-112 ◽  
Author(s):  
Kasra Mohammadi ◽  
Shahaboddin Shamshirband ◽  
Amir Seyed Danesh ◽  
Mohd Shahidan Abdullah ◽  
Mazdak Zamani
Keyword(s):  
Solar Radiation ◽  
Soft Computing ◽  
Global Solar Radiation ◽  
Computing Methodologies ◽  
Retracted Article

Analysis of Spatial Smoothing Effect of Short-term Fluctuation of Global Solar Radiation based on the Data Including Quantization Error

2011 ◽  
Vol 131 (5) ◽  
pp. 413-420 ◽  
Author(s):  
Yosuke Ue ◽  
Ryoichi Hara ◽  
Hiroyuki Kita ◽  
Yutaka Saito ◽  
Katsuyuki Takitani ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Global Solar Radiation ◽  
Quantization Error ◽  
Smoothing Effect ◽  
Spatial Smoothing ◽  
Short Term ◽  
Term Fluctuation

Global Solar Radiation Estimation in Mansoura, Egypt (Dept.M)

2020 ◽  
Vol 37 (4) ◽  
pp. 98-116
Author(s):  
Helmy Gad ◽  
Safya El-Gayar
Keyword(s):  
Solar Radiation ◽  
Global Solar Radiation

scholarly journals Detrended Multiple Cross-Correlation Coefficient applied to solar radiation, air temperature and relative humidity

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Andrea de Almeida Brito ◽  
Heráclio Alves de Araújo ◽  
Gilney Figueira Zebende
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
Solar Energy ◽  
Correlation Coefficient ◽  
Air Temperature ◽  
Cross Correlation ◽  
Global Solar Radiation ◽  
Meteorological Variables ◽  
Hourly Data ◽  
Cross Correlations

AbstractDue to the importance of generating energy sustainably, with the Sun being a large solar power plant for the Earth, we study the cross-correlations between the main meteorological variables (global solar radiation, air temperature, and relative air humidity) from a global cross-correlation perspective to efficiently capture solar energy. This is done initially between pairs of these variables, with the Detrended Cross-Correlation Coefficient, ρDCCA, and subsequently with the recently developed Multiple Detrended Cross-Correlation Coefficient, $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2. We use the hourly data from three meteorological stations of the Brazilian Institute of Meteorology located in the state of Bahia (Brazil). Initially, with the original data, we set up a color map for each variable to show the time dynamics. After, ρDCCA was calculated, thus obtaining a positive value between the global solar radiation and air temperature, and a negative value between the global solar radiation and air relative humidity, for all time scales. Finally, for the first time, was applied $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}$$DMCx2 to analyze cross-correlations between three meteorological variables at the same time. On taking the global radiation as the dependent variable, and assuming that $${\boldsymbol{DM}}{{\boldsymbol{C}}}_{{\bf{x}}}^{{\bf{2}}}={\bf{1}}$$DMCx2=1 (which varies from 0 to 1) is the ideal value for the capture of solar energy, our analysis finds some patterns (differences) involving these meteorological stations with a high intensity of annual solar radiation.

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