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 …

Development of a hybrid computational intelligent model for daily global solar radiation prediction

L Goliatt, ZM Yaseen - Expert Systems with Applications, 2023 - Elsevier
Providing an accurate and reliable solar radiation prediction is highly significant for optimal
design and management of thermal and solar photovoltaic systems. It is massively essential …

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 …

Experimental validation of multi-stage optimal energy management for a smart microgrid system under forecasting uncertainties

S Gheouany, H Ouadi, F Giri, S El Bakali - Energy Conversion and …, 2023 - Elsevier
This paper proposes a Multi-stage Energy Management System (MS-EMS) for power
distribution in a smart microgrid comprising a photovoltaic system (PV), an Energy Storage …

[HTML][HTML] Variational mode decomposition based random forest model for solar radiation forecasting: new emerging machine learning technology

M Ali, R Prasad, Y Xiang, M Khan, AA Farooque… - Energy Reports, 2021 - Elsevier
Forecasting of solar radiation (Radn) can provide an insight vision for the amount of green
and friendly energy sources. Owing to the non-linearity and non-stationarity challenges …

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 comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends

N El-Amarty, M Marzouq, H El Fadili… - … Science and Pollution …, 2023 - Springer
Solar irradiation data are imperatively required for any solar energy-based project. The non-
accessibility and uncertainty of these data can greatly affect the implementation …

Near real-time global solar radiation forecasting at multiple time-step horizons using the long short-term memory network

ANL Huynh, RC Deo, DA An-Vo, M Ali, N Raj… - Energies, 2020 - mdpi.com
This paper aims to develop the long short-term memory (LSTM) network modelling strategy
based on deep learning principles, tailored for the very short-term, near-real-time global …

Soft computing for solar radiation potential assessment in Algeria

M Guermoui, A Rabehi - International Journal of Ambient Energy, 2020 - Taylor & Francis
Precise estimation of solar radiation is a highly required parameter for the design and
assessment of solar energy applications. Over the past years, many machine learning …