DOI:​10.1016/J.RSER.2015.07.173
Corpus ID: 107173941
A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
Shahaboddin Shamshirband, Kasra Mohammadi, +2 authors A. Mostafaeipour
Published 2015
Engineering

Renewable & Sustainable Energy Reviews
In this paper, the extreme learning machine (ELM) is employed to predict horizontal global solar radiation (HGSR). For this purpose, the capability of developed ELM method is appraised statistically… Expand
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96 Citations
Highly Influential Citations
2
Background Citations
15
Methods Citations
9
96 Citations
Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran
Shahaboddin Shamshirband, Kasra Mohammadi, H. Chen, Ganthan Narayana Samy, D. Petković, Chao Ma
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Lately, the kernel extreme learning machine (KELM) has gained considerable importance in the scientific area due to its great efficiency, easy implementation and fast training speed. In this paper,… Expand
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2018
TLDR
Among various soft computing approaches, the BA, which is inspired by the nature of microbats’ behaviour, has a significant impact on the optimization of this study, and results indicate that among the tested models, BNN gains the best performance in the prediction of daily solar radiation. Expand
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R. Meenal, A. Selvakumar
Mathematics
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This paper evaluates the accuracy of Support Vector Machine (SVM), Artificial Neural Network (ANN) and empirical solar radiation models with different combination of input parameters. The parameters… Expand
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ELEKTRIKA- Journal of Electrical Engineering
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For efficient and reliable hydrogen production via solar photovoltaic system, it is important to obtain accurate solar radiation data. Though there are equipment specifically designed for solar… Expand
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Solar radiation plays an important role in climate change, energy balance and energy applications. In this work, an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is proposed and compared with… Expand
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RETRACTED ARTICLE: Horizontal global solar radiation estimation using hybrid SVM-firefly and SVM-wavelet algorithms: a case study
Kasra Mohammadi, Shahaboddin Shamshirband, A. S. Danesh, M. Zamani, C. Sudheer
Computer Science
Natural Hazards

2015
TLDR
Assessment of the suitability of two hybrid approaches to predict monthly mean daily horizontal global solar radiation indicates that hybridizing the SVM with FFA and WT algorithms would be promising as both SVM-FFA and S VM-WT approaches show higher performance than single SVM. Expand
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Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
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2019
Abstract Accurate estimation of global solar radiation (Rs) is essential to the design and assessment of solar energy utilization systems. Existing empirical and machine learning models for… Expand
Development of data-driven models for prediction of daily global horizontal irradiance in Northwest China
Y. Feng, Ningbo Cui, Yuxin Chen, D. Gong, Xiaotao Hu
Environmental Science
Journal of Cleaner Production
2019
Abstract Global horizontal irradiance (Hg) data are the primary information for the design and evaluation of solar systems, which can generate clean thermal or electrical energy for agricultural and… Expand
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Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Tao Hai, A. Sharafati, +4 authors Z. Yaseen
Mathematics, Computer ScienceIEEE Access
2020
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An evaluation of the preciseness of extreme learning machine (ELM) model as a fast and efficient framework for estimating global incident solar radiation (G) is undertaken and the root mean square error and mean absolute error are dramatically lower for the optimal ELM model. Expand
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Estimation of solar radiation using modern methods
Ömer Ali Karaman, Tuba Tanyıldızı Ağır, İ. Arsel
Mathematics
2021
Abstract It is stated in the present study that extreme learning machines (ELM) will display a greater performance in solar radiation estimation compared to artificial neural networks (ANN). The data… Expand
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Shahaboddin Shamshirband, Kasra Mohammadi, C. W. Tong, M. Zamani, S. Motamedi, Sudheer Ch
MathematicsTheoretical and Applied Climatology
2015
In this study, a hybrid support vector machine–firefly optimization algorithm (SVM-FFA) model is proposed to estimate monthly mean horizontal global solar radiation (HGSR). The merit of SVM-FFA is… Expand
38 Citations
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Comparison of modelling ANN and ELM to estimate solar radiation over Turkey using NOAA satellite data
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Environmental Science
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In this study, solar radiation (SR) is estimated at 61 locations with varying climatic conditions using the artificial neural network (ANN) and extreme learning machine (ELM). While the ANN and ELM… Expand
28 Citations
Potential of adaptive neuro-fuzzy system for prediction of daily global solar radiation by day of the year
Kasra Mohammadi, S. Shamshirband, C. W. Tong, Khubaib Amjad Alam, D. Petković
Geography, Mathematics
2015
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86 Citations
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Environmental Science
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183 Citations
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Temperature-based estimation of global solar radiation using soft computing methodologies
Kasra Mohammadi, Shahaboddin Shamshirband, A. S. Danesh, M. S. Abdullah, M. Zamani
MathematicsTheoretical and Applied Climatology
2015
Precise knowledge of solar radiation is indeed essential in different technological and scientific applications of solar energy. Temperature-based estimation of global solar radiation would be… Expand
31 Citations
Prediction of monthly global solar radiation using adaptive neuro fuzzy inference system (ANFIS) technique over the State of Tamilnadu (India): a comparative study
T. R. Sumithira, A. N. Nirmal kumar
Chemistry
2012
Enormous potential of solar energy as a clean and pollution free source enrich the global power generation. India, being a tropical country, has high solar radiation and it lies to the north of… Expand
39 Citations
Application of Neuro-Fuzzy Techniques for Solar Radiation
W. A. Rahoma, U. A. Rahoma, A. H. Hassan
Computer Science
2011
TLDR
The predicting conclusion indicated that the TS fuzzy model gave a good accuracy of approximately 96% and a root mean square error lower than 6% which is very useful in solar energy applications.Expand
Estimation of global solar radiation using ANN over Turkey
M. Ozgoren, M. Bilgili, B. Şahin
Environmental Science, Computer Science
Expert Syst. Appl.
2012
TLDR
An artificial neural network (ANN) model based on multi-nonlinear regression (MNLR) method for estimating the monthly mean daily sum global solar radiation at any place of Turkey is developed. Expand
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M. Benghanem, A. Mellit, S. Alamri
Environmental Science
2009
In this paper, an artificial neural network (ANN) models for estimating and modelling of daily global solar radiation have been developed. The data used in this work are the global irradiation HG,… Expand
210 Citations
Evaluation of support vector machine for estimation of solar radiation from measured meteorological variables
Jilong Chen, Guo-Sheng Li
Environmental Science
Theoretical and Applied Climatology
2013
Solar radiation is an essential and important variable to many models. However, it is measured at a very limited number of meteorological stations in the world. Developing method for accurate… Expand
45 Citations
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