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 …
Machine learning in weather prediction and climate analyses—applications and perspectives
B Bochenek, Z Ustrnul - Atmosphere, 2022 - mdpi.com
In this paper, we performed an analysis of the 500 most relevant scientific articles published
since 2018, concerning machine learning methods in the field of climate and numerical …
since 2018, concerning machine learning methods in the field of climate and numerical …
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …
learning models have grasped a great interest in the Artificial Intelligence community, mainly …
Application of XGBoost algorithm in the optimization of pollutant concentration
With the rapid development of the economy, urban pollution has become a hot issue of
human concern, and people are put forward higher requirements for the accuracy of …
human concern, and people are put forward higher requirements for the accuracy of …
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN …
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient
predictive models of global solar radiation (GSR). These are necessary to provide solar …
predictive models of global solar radiation (GSR). These are necessary to provide solar …
[HTML][HTML] Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
S Ghimire, B Bhandari, D Casillas-Perez… - … Applications of Artificial …, 2022 - Elsevier
This study proposes a new hybrid deep learning (DL) model, the called CSVR, for Global
Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with …
Solar Radiation (GSR) predictions by integrating Convolutional Neural Network (CNN) with …
Solar radiation prediction using different machine learning algorithms and implications for extreme climate events
L Huang, J Kang, M Wan, L Fang, C Zhang… - Frontiers in Earth …, 2021 - frontiersin.org
Solar radiation is the Earth's primary source of energy and has an important role in the
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
surface radiation balance, hydrological cycles, vegetation photosynthesis, and weather and …
[HTML][HTML] Construction of a virtual PM2. 5 observation network in China based on high-density surface meteorological observations using the Extreme Gradient …
With increasing public concerns on air pollution in China, there is a demand for long-term
continuous PM 2.5 datasets. However, it was not until the end of 2012 that China …
continuous PM 2.5 datasets. However, it was not until the end of 2012 that China …
A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation
A novel combined multi-task learning and Gaussian process regression (MTGPR) model is
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
Near-real-time estimation of global horizontal irradiance from Himawari-8 satellite data
Accurate estimation of global horizontal irradiance (GHI) is not only an essential requirement
of setting up a photoelectric power generation system but also critical information for …
of setting up a photoelectric power generation system but also critical information for …