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 …
A comprehensive review of hybrid models for solar radiation forecasting
Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm
J Wang, Y Zhou, Z Li - Applied Energy, 2022 - Elsevier
As the penetration rate of solar energy in the grid continues to enhance, solar power
photovoltaic generation forecasts have become an indispensable aspect of mechanism …
photovoltaic generation forecasts have become an indispensable aspect of mechanism …
Short-term photovoltaic power forecasting based on signal decomposition and machine learning optimization
Y Zhou, J Wang, Z Li, H Lu - Energy Conversion and Management, 2022 - Elsevier
Owing to the continuous increase in the proportion of solar generation accounting for the
total global generation, real-time management of solar power has become indispensable …
total global generation, real-time management of solar power has become indispensable …
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 …
Solar radiation prediction using different techniques: model evaluation and comparison
Daily observations of meteorological parameters, air temperature, air pressure, relative
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
Solar radiation prediction using boosted decision tree regression model: A case study in Malaysia
Reliable and accurate prediction model capturing the changes in solar radiation is essential
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
in the power generation and renewable carbon-free energy industry. Malaysia has immense …
Classification and summarization of solar irradiance and power forecasting methods: A thorough review
B Yang, T Zhu, P Cao, Z Guo, C Zeng… - CSEE Journal of …, 2021 - ieeexplore.ieee.org
Solar forecasting is of great importance for ensuring safe and stable operations of the power
system with increased solar power integration, thus numerous models have been presented …
system with increased solar power integration, thus numerous models have been presented …
Application of a novel time-delayed power-driven grey model to forecast photovoltaic power generation in the Asia-Pacific region
Photovoltaic engineering is one of the most important ways for utilizing solar energy. With
fast development and large investment, the photovoltaic market has become more complex …
fast development and large investment, the photovoltaic market has become more complex …
The potential of novel data mining models for global solar radiation prediction
Advance knowledge of solar radiation is highly essential for multiple energy devotions such
as sustainability in energy production and development of solar energy system. The current …
as sustainability in energy production and development of solar energy system. The current …