Solar radiation prediction using Artificial Neural Network techniques: A review
AK Yadav, SS Chandel - Renewable and sustainable energy reviews, 2014 - Elsevier
Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …
available for location of interest due to absence of a meteorological station. Therefore, the …
Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models
The prediction of solar radiation is important for several applications in renewable energy
research. Solar radiation is predicted by a number of solar radiation models both …
research. Solar radiation is predicted by a number of solar radiation models both …
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Providing an accurate and reliable solar radiation prediction is highly significant for optimal
design and management of thermal and solar photovoltaic systems. It is massively essential …
design and management of thermal and solar photovoltaic systems. It is massively essential …
Assessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation
Solar radiation (SR) knowledge plays a vital role in the design, modelling, and operation of
solar energy conversion systems and future energy investment policies of the governments …
solar energy conversion systems and future energy investment policies of the governments …
Application of rapid miner in ANN based prediction of solar radiation for assessment of solar energy resource potential of 76 sites in Northwestern India
In this study new technique Rapid Miner is used for relevant input variable selection for
prediction of solar radiation using different ANN techniques. The prediction accuracy of ANN …
prediction of solar radiation using different ANN techniques. The prediction accuracy of ANN …
Modelling and prediction of photovoltaic power output using artificial neural networks
This paper presents a solar power modelling method using artificial neural networks (ANNs).
Two neural network structures, namely, general regression neural network (GRNN) …
Two neural network structures, namely, general regression neural network (GRNN) …
A hybrid machine learning approach for daily prediction of solar radiation
M Torabi, A Mosavi, P Ozturk, A Varkonyi-Koczy… - Recent Advances in …, 2019 - Springer
In this paper, we present a Cluster-Based Approach (CBA) that utilizes the support vector
machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily …
machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily …
Prediction and application of solar radiation with soft computing over traditional and conventional approach–A comprehensive review
Solar radiation data plays a crucial role in solar energy research and application. It provides
the vital information about the energy that strikes the earth and is highly useful for modeling …
the vital information about the energy that strikes the earth and is highly useful for modeling …
Global solar radiation prediction for Makurdi, Nigeria, using neural networks ensemble
A Kuhe, VT Achirgbenda, M Agada - Energy Sources, Part A …, 2021 - Taylor & Francis
In this work, various artificial neural networks (ANNs) used for predicting the solar radiation
in Makurdi city, Nigeria (7° 7ʹ N long. 8° 6ʹ) have been developed: Feed-forward back …
in Makurdi city, Nigeria (7° 7ʹ N long. 8° 6ʹ) have been developed: Feed-forward back …
An interdependent evolutionary machine learning model applied to global horizontal irradiance modeling
The most important input parameter in all solar power generation forecasting systems is
solar radiation. Your estimation is necessary for the development of any photovoltaic system …
solar radiation. Your estimation is necessary for the development of any photovoltaic system …