Application of support vector machine models for forecasting solar and wind energy resources: A review
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …
research has proved that renewable energy sources, especially solar and wind, can be …
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 …
[HTML][HTML] Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
Accurate estimation of global solar radiation (R s) is essential to the design and assessment
of solar energy utilization systems. Existing empirical and machine learning models for …
of solar energy utilization systems. Existing empirical and machine learning models for …
A comparative performance of machine learning algorithm to predict electric vehicles energy consumption: A path towards sustainability
The rapid growth of transportation sector and related emissions are attracting the attention of
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
policymakers to ensure environmental sustainability. Therefore, the deriving factors of …
A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
K Mohammadi, S Shamshirband, CW Tong… - Energy Conversion and …, 2015 - Elsevier
In this paper, a new hybrid approach by combining the Support Vector Machine (SVM) with
Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation …
Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation …
Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
Solar energy plays a vital role in the field of sustainable energy by providing clean, efficient
and reliable alternative source of energy. Where, the output of solar energy systems is highly …
and reliable alternative source of energy. Where, the output of solar energy systems is highly …
Support vector regression based prediction of global solar radiation on a horizontal surface
K Mohammadi, S Shamshirband, MH Anisi… - Energy Conversion and …, 2015 - Elsevier
In this paper, the support vector regression (SVR) methodology was adopted to estimate the
horizontal global solar radiation (HGSR) based upon sunshine hours (n) and maximum …
horizontal global solar radiation (HGSR) based upon sunshine hours (n) and maximum …
Prediction of daily and mean monthly global solar radiation using support vector machine in an arid climate
Prior knowledge of solar radiation in situ is very important, for better management, sizing
and control of solar energy installations. In this paper, an application of a support vector …
and control of solar energy installations. In this paper, an application of a support vector …
Online cement clinker quality monitoring: A soft sensor model based on multivariate time series analysis and CNN
Y Zhao, B Ding, Y Zhang, L Yang, X Hao - ISA transactions, 2021 - Elsevier
The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …