Hybrid techniques to predict solar radiation using support vector machine and search optimization algorithms: a review
The use of intelligent algorithms for global solar prediction is an ideal tool for research
focused on the use of solar energy. Forecasting solar radiation supports different …
focused on the use of solar energy. Forecasting solar radiation supports different …
Forecasting of solar radiation using different machine learning approaches
In this study, monthly solar radiation (SR) estimation was performed using five different
machine learning-based approaches. The models used are support vector machine …
machine learning-based approaches. The models used are support vector machine …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
M Jamei, M Ali, M Karbasi, Y **_numerical_equality_to_regional_intensity-duration-frequency_curves_using_evolutionary_algorithms_and_multi-gene_genetic_programming/links/630c472dacd814437fe48387/Develo**-numerical-equality-to-regional-intensity-duration-frequency-curves-using-evolutionary-algorithms-and-multi-gene-genetic-programming.pdf" data-clk="hl=de&sa=T&oi=gga&ct=gga&cd=8&d=12997633142012918015&ei=HlStZ96IJsXBieoP6tSMiAQ" data-clk-atid="_ziGbnreYLQJ" target="_blank">[PDF] researchgate.net
Develo** numerical equality to regional intensity–duration–frequency curves using evolutionary algorithms and multi-gene genetic programming
This study aims to carry out regional intensity− duration− frequency (IDF) equality using the
relationship with IDF obtained from point frequency analysis. Eleven empirical equations …
relationship with IDF obtained from point frequency analysis. Eleven empirical equations …
A new evolutionary time series model for streamflow forecasting in boreal lake-river systems
Genetic programming (GP) is an evolutionary regression method that has received
considerable interest to model hydro-environmental phenomena recently. Considering the …
considerable interest to model hydro-environmental phenomena recently. Considering the …