A comprehensive review of empirical models for estimating global solar radiation in Africa

NS Chukwujindu - Renewable and sustainable energy reviews, 2017 - Elsevier
The accurate knowledge of global solar radiation is of vital requirement for surveys in
agronomy, hydrology, ecology, sizing of the photovoltaic or thermal solar systems, solar …

[HTML][HTML] A quantitative review and classification of empirical models for predicting global solar radiation in West Africa

SC Nwokolo, JC Ogbulezie - Beni-Suef University Journal of Basic and …, 2018 - Elsevier
The knowledge of the global solar radiation is of particular significance in reliable evaluation
of the solar energy potential in a given locality. However, ground measurement of global …

Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia

S Ghimire, RC Deo, NJ Downs, N Raj - Journal of cleaner production, 2019 - Elsevier
To support alternative forms of energy resources, the prediction of global incident solar
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …

On the global solar radiation prediction methods

TR Ayodele, ASO Ogunjuyigbe… - Journal of Renewable and …, 2016 - pubs.aip.org
The availability of reasonably accurate global solar radiation data is vital for the success of
any solar project. However, only a few meteorological stations around the world capture …

Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas‐Phase Hydrogen Sulphide and Ammonia

ER Rene, ME López, JH Kim… - BioMed research …, 2013 - Wiley Online Library
Lab scale studies were conducted to evaluate the performance of two simultaneously
operated immobilized cell biofilters (ICBs) for removing hydrogen sulphide (H2S) and …

Clearness index predicting using an integrated artificial neural network (ANN) approach

S Kheradmanda, O Nematollahi, AR Ayoobia - Renewable and Sustainable …, 2016 - Elsevier
Accurate insolation data for many cities and locations is not available. Therefore estimation
of such data for solar applications is inevitable. Clearness index KT¯ is one of the …

Multi-output ANN model for prediction of seven meteorological parameters in a weather station

K Raza, V Jothiprakash - Journal of The Institution of Engineers (India) …, 2014 - Springer
The meteorological parameters plays a vital role for determining various water demand in
the water resource systems, planning, management and operation. Thus, accurate …

[HTML][HTML] Contributions of internal climate variability in driving global and ocean temperature variations using multi-layer perceptron neural network

HX Xiao, X Liu, R Yu, B Yao, F Zhang… - Advances in Climate …, 2022 - Elsevier
Roles of internal climate variabilities regulating global and ocean temperature changes is a
hot but complex issue of scientific concern, influencing the comprehensive policy-making in …

Assessment of determinants predicting success on the Saudi Nursing Licensure Examination by employing artificial neural network

VE Butcon, E Pasay-An, MCL Indonto… - Journal of education …, 2021 - journals.lww.com
BACKGROUND: This study aims to use the artificial neural network as a novel approach to
explore factors that determine and predict successful performance of nursing interns in …

[HTML][HTML] Optimisation of the performance of a prototype instrument for measuring solar irradiation using artificial neural network

J Akolgo, G Mensah, D Marfo, E Seesi… - Solar Energy …, 2024 - Elsevier
Accurate measurement of solar radiation is essential for understanding climate patterns,
assessing solar energy potential, and predicting weather conditions. Over the years, solar …