Solar forecasting methods for renewable energy integration

RH Inman, HTC Pedro, CFM Coimbra - Progress in energy and combustion …, 2013 - Elsevier
The higher penetration of renewable resources in the energy portfolios of several
communities accentuates the need for accurate forecasting of variable resources (solar …

A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models

KS Garud, S Jayaraj, MY Lee - International Journal of Energy …, 2021 - Wiley Online Library
The uncertainty associated with modeling and performance prediction of solar photovoltaic
systems could be easily and efficiently solved by artificial intelligence techniques. During the …

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 …

Solar radiation prediction using Artificial Neural Network techniques: A review

AK Yadav, SS Chandel - Renewable and sustainable energy reviews, 2014 - Elsevier
Solar radiation data plays an important role in solar energy research. These data are not
available for location of interest due to absence of a meteorological station. Therefore, the …

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian …

M Sharifzadeh, A Sikinioti-Lock, N Shah - Renewable and Sustainable …, 2019 - Elsevier
Renewable energy from wind and solar resources can contribute significantly to the
decarbonisation of the conventionally fossil-driven electricity grid. However, their seamless …

Ensemble methods for wind and solar power forecasting—A state-of-the-art review

Y Ren, PN Suganthan, N Srikanth - Renewable and Sustainable Energy …, 2015 - Elsevier
This paper reviews state-of-the-art on wind speed/power forecasting and solar irradiance
forecasting with ensemble methods. The ensemble forecasting methods are grouped into …

Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions

L Xu, N Chen, Z Chen, C Zhang, H Yu - Earth-Science Reviews, 2021 - Elsevier
Spatiotemporal forecasting (STF) extends traditional time series forecasting or spatial
interpolation problem to space and time dimensions. Here, we review the statistical, physical …

A current perspective on the accuracy of incoming solar energy forecasting

R Blaga, A Sabadus, N Stefu, C Dughir… - Progress in energy and …, 2019 - Elsevier
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …

Intra-hour DNI forecasting based on cloud tracking image analysis

R Marquez, CFM Coimbra - Solar Energy, 2013 - Elsevier
We describe an image processing methodology using Total Sky Imagers (TSIs) to generate
short-term forecasts of Direct Normal Irradiance (DNI) at the ground level. Specifically, we …

A multilayer perceptron neural network approach for optimizing solar irradiance forecasting in Central Africa with meteorological insights

IM Mfetoum, SK Ngoh, RJJ Molu, BF Nde Kenfack… - Scientific Reports, 2024 - nature.com
Promoting renewable energy sources, particularly in the solar industry, has the potential to
address the energy shortfall in Central Africa. Nevertheless, a difficulty occurs due to the …