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 …

A state of art review on estimation of solar radiation with various models

AE Gürel, Ü Ağbulut, H Bakır, A Ergün, G Yıldız - Heliyon, 2023 - cell.com
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 …

Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies

M Guermoui, K Gairaa, K Ferkous… - Journal of Cleaner …, 2023 - Elsevier
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 …

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 …

[HTML][HTML] Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting

DV Pombo, MJ Rincón, P Bacher, HW Bindner… - … Energy, Grids and …, 2022 - Elsevier
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 …

A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study

M Guermoui, K Gairaa, J Boland… - Journal of Solar …, 2021 - asmedigitalcollection.asme.org
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 …

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 …

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 …

A new stochastic computing paradigm for nonlinear Painlevé II systems in applications of random matrix theory

MA Zahoor Raja, Z Shah, M Anwaar Manzar… - The European physical …, 2018 - Springer
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 …

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 …