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 …

A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting

H Acikgoz - Applied Energy, 2022 - Elsevier
In this study, a novel deep solar forecasting approach is proposed based on the complete
ensemble empirical mode decomposition with adaptive noise (CEEMDAN), continuous …

A novel machine learning approach for solar radiation estimation

H Hissou, S Benkirane, A Guezzaz, M Azrour… - Sustainability, 2023 - mdpi.com
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 …

A multi-step ahead global solar radiation prediction method using an attention-based transformer model with an interpretable mechanism

Y Zhou, Y Li, D Wang, Y Liu - International Journal of Hydrogen Energy, 2023 - Elsevier
The conventional multi-step ahead solar radiation prediction method ignores the time-
dependence of a future solar radiation time series. Therefore, according to sequence-to …

Short‐Term PV Power Forecasting Using a Hybrid TVF‐EMD‐ELM Strategy

R Khelifi, M Guermoui, A Rabehi… - … on Electrical Energy …, 2023 - Wiley Online Library
This paper discusses the efficient implementation of a new hybrid approach to forecasting
short‐term PV power production for four different PV plants in Algeria. The developed model …

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 …

[HTML][HTML] Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison

N Sehrawat, S Vashisht, A Singh - International Journal of Intelligent …, 2023 - Elsevier
The ever-increasing demand for energy and power consumption due to population growth,
economic expansion, and evolving consumer choices has led to the need for renewable …

New soft computing model for multi-hours forecasting of global solar radiation

M Guermoui, K Bouchouicha, S Benkaciali… - … Physical Journal Plus, 2022 - epjplus.epj.org
The growing development of photovoltaic technology has explored the role of effective solar
irradiance forecasting in grid security and stability However, due to its non-stationary nature …

Optimized random forest for solar radiation prediction using sunshine hours

CG Villegas-Mier, J Rodriguez-Resendiz… - Micromachines, 2022 - mdpi.com
Knowing exactly how much solar radiation reaches a particular area is helpful when
planning solar energy installations. In recent years the use of renewable energies …