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How solar radiation forecasting impacts the utilization of solar energy: A critical review
The demand for energy generation from solar energy resource has been exponentially
increasing in recent years. It is integral for a grid operator to maintain the balance between …
increasing in recent years. It is integral for a grid operator to maintain the balance between …
Review on photovoltaic power and solar resource forecasting: current status and trends
Photovoltaic (PV) power intermittence impacts electrical grid security and operation. Precise
PV power and solar irradiation forecasts have been investigated as significant reducers of …
PV power and solar irradiation forecasts have been investigated as significant reducers of …
An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques
Integration renewable energy sources into current power generation systems necessitates
accurate forecasting to optimize and preserve supply–demand restrictions in the electrical …
accurate forecasting to optimize and preserve supply–demand restrictions in the electrical …
[HTML][HTML] Application of improved version of multi verse optimizer algorithm for modeling solar radiation
For better estimation of renewable environmental friendly and carbon-free energy resources,
precise prediction of solar energy is very essential. However, accurate prediction of solar …
precise prediction of solar energy is very essential. However, accurate prediction of solar …
Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
This study addresses the critical need for precise Direct Normal Irradiation forecasting in
concentrating solar power systems to enhance performance and manage power generation …
concentrating solar power systems to enhance performance and manage power generation …
Development of a hybrid computational intelligent model for daily global solar radiation prediction
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 …
design and management of thermal and solar photovoltaic systems. It is massively essential …
A hybrid deep learning method for an hour ahead power output forecasting of three different photovoltaic systems
The integration of photovoltaic energy into a grid demands accurate power output
forecasting. In this research, an hour ahead prediction of power output is performed on an …
forecasting. In this research, an hour ahead prediction of power output is performed on an …
Short-term solar irradiance forecasting using deep learning techniques: a comprehensive case study
Reliable estimation of solar irradiance is required for many solar energy applications such
as photovoltaics, water heating, cooking, solar microgrids, etc. Deep Learning techniques …
as photovoltaics, water heating, cooking, solar microgrids, etc. Deep Learning techniques …
Chaotic harris hawks optimization with quasi-reflection-based learning: An application to enhance cnn design
The research presented in this manuscript proposes a novel Harris Hawks optimization
algorithm with practical application for evolving convolutional neural network architecture to …
algorithm with practical application for evolving convolutional neural network architecture to …
A multi-model ensemble-based CMIP6 assessment of future solar radiation and PV potential under various climate warming scenarios
The ability of the hybrid evolutionary auto-regression integrated moving average (ARIMA)
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …