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 …
A state of art review on estimation of solar radiation with various models
Solar radiation is free, and very useful input for most sectors such as heat, health, tourism,
agriculture, and energy production, and it plays a critical role in the sustainability of …
agriculture, and energy production, and it plays a critical role in the sustainability of …
Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …
development of photovoltaic systems, particularly for integration into existing grid systems …
A novel ensemble learning approach for hourly global solar radiation forecasting
M Guermoui, S Benkaciali, K Gairaa… - Neural Computing and …, 2022 - Springer
Precise solar radiation forecasting can provide great benefits and solutions for smart grid
distribution and electricity management. However, its non-stationary behavior and …
distribution and electricity management. However, its non-stationary behavior and …
[HTML][HTML] Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting
Increasingly advanced stochastic energy management systems are employed to facilitate
the integration of wind and solar PV in worldwide power grids. In this context, forecasting is a …
the integration of wind and solar PV in worldwide power grids. In this context, forecasting is a …
A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
A hybrid machine learning approach for daily prediction of solar radiation
M Torabi, A Mosavi, P Ozturk, A Varkonyi-Koczy… - Recent Advances in …, 2019 - Springer
In this paper, we present a Cluster-Based Approach (CBA) that utilizes the support vector
machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily …
machine (SVM) and an artificial neural network (ANN) to estimate and predict the daily …
Multi-step ahead forecasting of daily global and direct solar radiation: a review and case study of Ghardaia region
M Guermoui, F Melgani, C Danilo - Journal of Cleaner Production, 2018 - Elsevier
Accurate estimation of solar radiation components of a specific location has been one of the
most important issues of solar energy applications. In this paper, a new approach, named …
most important issues of solar energy applications. In this paper, a new approach, named …
A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory
The aim of the present work is to investigate the stochastic numerical solutions of nonlinear
Painlevé II systems arising from studies of two-dimensional Yang-Mills theory, growth …
Painlevé II systems arising from studies of two-dimensional Yang-Mills theory, growth …
Global solar radiation prediction: Application of novel hybrid data-driven model
M Alrashidi, M Alrashidi, S Rahman - Applied Soft Computing, 2021 - Elsevier
One of the significant prerequisites for harvesting solar energy is precise global solar
radiation (GHI) forecasts. However, variability and uncertainty are inherent characteristics of …
radiation (GHI) forecasts. However, variability and uncertainty are inherent characteristics of …