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] Estimating surface solar irradiance from satellites: Past, present, and future perspectives
Abstract Surface Solar Irradiance (SSI) is a key parameter dictating surface-atmosphere
interactions, driving radiative, hydrological, and land surface processes, and can thus …
interactions, driving radiative, hydrological, and land surface processes, and can thus …
Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks
Accurate and reliable solar irradiance forecasting can bring significant benefits for managing
electricity generation and distributing modern smart grid. However, the characteristics of …
electricity generation and distributing modern smart grid. However, the characteristics of …
A critical review of the models used to estimate solar radiation
J Zhang, L Zhao, S Deng, W Xu, Y Zhang - Renewable and Sustainable …, 2017 - Elsevier
Solar radiation data is critical to the design and operation of solar energy utilization systems,
so a large number of models have been proposed and developed to estimate solar radiation …
so a large number of models have been proposed and developed to estimate solar radiation …
A current perspective on the accuracy of incoming solar energy forecasting
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 …
results reported in 1705 accuracy tests reported in several geographic regions (North …
A decomposition-clustering-ensemble learning approach for solar radiation forecasting
A decomposition-clustering-ensemble (DCE) learning approach is proposed for solar
radiation forecasting in this paper. In the proposed DCE learning approach,(1) ensemble …
radiation forecasting in this paper. In the proposed DCE learning approach,(1) ensemble …
Application of rapid miner in ANN based prediction of solar radiation for assessment of solar energy resource potential of 76 sites in Northwestern India
In this study new technique Rapid Miner is used for relevant input variable selection for
prediction of solar radiation using different ANN techniques. The prediction accuracy of ANN …
prediction of solar radiation using different ANN techniques. The prediction accuracy of ANN …
A novel hybrid (Mycielski-Markov) model for hourly solar radiation forecasting
FO Hocaoglu, F Serttas - Renewable Energy, 2017 - Elsevier
Short term solar radiation forecasting is significant for the operation of big installations and
the electrical grid. There are many short term forecasting techniques in the literature. In this …
the electrical grid. There are many short term forecasting techniques in the literature. In this …
Forecasting hourly solar irradiance using hybrid wavelet transformation and Elman model in smart grid
With the integration of photovoltaic (PV) power into an electrical network, the complexity of
the grid management is increasing because of intermittent and fluctuation nature of solar …
the grid management is increasing because of intermittent and fluctuation nature of solar …
Estimation methods of global solar radiation, cell temperature and solar power forecasting: A review and case study in Eskişehir
Ö Ayvazoğluyüksel, ÜB Filik - Renewable and Sustainable Energy …, 2018 - Elsevier
Solar energy is the most important energy resource that has become an efficient solution to
the world's energy challenges. Accurate knowledge of global solar radiation and cell …
the world's energy challenges. Accurate knowledge of global solar radiation and cell …