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 …
[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 …
Forecasting of solar radiation using different machine learning approaches
V Demir, H Citakoglu - Neural Computing and Applications, 2023 - Springer
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 …
[HTML][HTML] Application of improved version of multi verse optimizer algorithm for modeling solar radiation
For better estimation of renewable environmental friendly and carbon-free energy resources,
precise prediction of solar energy is very essential. However, accurate prediction of solar …
precise prediction of solar energy is very essential. However, accurate prediction of solar …
Estimation of SPEI meteorological drought using machine learning algorithms
Accurate estimation of drought events is vital for the mitigation of their adverse
consequences on water resources, agriculture and ecosystems. Machine learning …
consequences on water resources, agriculture and ecosystems. Machine learning …
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …
robots are more commonly proposed to solve different tasks autonomously. The use of …
ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
Daily solar radiation is an important variable in many models. In this paper, the accuracy and
performance of three soft computing techniques (ie, adaptive neuro-fuzzy inference system …
performance of three soft computing techniques (ie, adaptive neuro-fuzzy inference system …
A critical review of the models used to estimate solar radiation
J Zhang, L Zhao, S Deng, W Xu, Y Zhang - Renewable and Sustainable …, 2017 - Elsevier
Solar radiation data is critical to the design and operation of solar energy utilization systems,
so a large number of models have been proposed and developed to estimate solar radiation …
so a large number of models have been proposed and developed to estimate solar radiation …
A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
IA Ibrahim, T Khatib - Energy Conversion and Management, 2017 - Elsevier
Reliable knowledge of solar radiation is an essential requirement for designing and
planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting …
planning solar energy systems. Thus, this paper presents a novel hybrid model for predicting …
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 …