Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
The prediction of global solar radiation for the regions is of great importance in terms of
giving directions of solar energy conversion systems (design, modeling, and operation) …
giving directions of solar energy conversion systems (design, modeling, and operation) …
Genetic programming in water resources engineering: A state-of-the-art review
The state-of-the-art genetic programming (GP) method is an evolutionary algorithm for
automatic generation of computer programs. In recent decades, GP has been frequently …
automatic generation of computer programs. In recent decades, GP has been frequently …
A novel machine learning approach for solar radiation estimation
Solar irradiation (Rs) is the electromagnetic radiation energy emitted by the Sun. It plays a
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
Using MARS, SVM, GEP and empirical equations for estimation of monthly mean reference evapotranspiration
S Mehdizadeh, J Behmanesh, K Khalili - Computers and electronics in …, 2017 - Elsevier
Evapotranspiration is one of the most important components of hydrologic cycle for optimal
management of water resources, especially in arid and semi-arid regions such as Iran. The …
management of water resources, especially in arid and semi-arid regions such as Iran. The …
A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
The main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …
Estimation of daily global solar radiation using deep learning model
Solar radiation (SR) is an important data for various applications such as climate, energy
and engineering. Because of this, determination and estimation of temporal and spatial …
and engineering. Because of this, determination and estimation of temporal and spatial …
Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
In this study, four different heuristic regression methods including Kriging, response surface
method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have …
method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have …
Comparison of artificial intelligence methods in estimation of daily global solar radiation
Assessment of solar potential over a location of interest is introduced as an important step
for the successful planning of solar energy systems (photovoltaic or thermal). Due to the …
for the successful planning of solar energy systems (photovoltaic or thermal). Due to the …
A comprehensive analysis of the emerging modern trends in research on photovoltaic systems and desalination in the era of artificial intelligence and machine …
Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …
Prediction of daily global solar radiation and air temperature using six machine learning algorithms; a case of 27 European countries
MK Nematchoua, JA Orosa, M Afaifia - Ecological Informatics, 2022 - Elsevier
The prediction of global solar radiation in a region is of great importance as it provides
investors and politicians with more detailed knowledge about the solar resource of that …
investors and politicians with more detailed knowledge about the solar resource of that …