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 …
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 …
Application of robust intelligent schemes for accurate modelling interfacial tension of CO2 brine systems: Implications for structural CO2 trapping
Given the current global climate change, renewable energy sources, carbon capture,
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
utilization, and storage (CCUS) are being considered as a potential solutions to this critical …
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 …
[HTML][HTML] Variational mode decomposition based random forest model for solar radiation forecasting: new emerging machine learning technology
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 …
and friendly energy sources. Owing to the non-linearity and non-stationarity challenges …
A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation
A novel combined multi-task learning and Gaussian process regression (MTGPR) model is
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
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 …
An interpretable machine learning model for daily global solar radiation prediction
Machine learning (ML) models are commonly used in solar modeling due to their high
predictive accuracy. However, the predictions of these models are difficult to explain and …
predictive accuracy. However, the predictions of these models are difficult to explain and …
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 …
short‐term PV power production for four different PV plants in Algeria. The developed model …