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) …
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid …
The knowledge of global solar radiation (H) is a prerequisite for the use of renewable solar
energy, but H measurements are always not available due to high costs and technical …
energy, but H measurements are always not available due to high costs and technical …
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 …
Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
[HTML][HTML] Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Global solar radiation (GSR) prediction plays an essential role in planning, controlling and
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
monitoring solar power systems. However, its stochastic behaviour is a significant challenge …
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
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 …
radiation (I rad) is critical to establish the efficacy of solar energy resources as a free and …
[HTML][HTML] Potential impacts of climate change on global solar radiation and PV output using the CMIP6 model in West Africa
In this study, six different PV power technology models from similar climatic environments in
West Africa were used to estimate the potential of PV generation and apply the model to …
West Africa were used to estimate the potential of PV generation and apply the model to …
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 …
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 …