This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar
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The development of a solar power generation model, multiple differential models, simulation and experimentation with a pilot solar rig served as alternate model for the prediction of
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In this context, a single diode equivalent circuit model with the stepwise detailed simulation of a solar PV module under Matlab/Simulink ambience is presented. I–V and P–V graph of solar PV
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This study employs experimental and simulation methods to develop a power generation model for BIPV facades that accounts for the influence of multiple factors.
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From the foregoing discussions on solar power generation model developments, this study develops a differential solar power generation model for the simulation of solar power...
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In the present work, a differential model for solar power generation has been developed to reflect the actual solar power harvestable in a given location dependent on the effect of the...
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By analyzing power generation data and employing advanced ML models, the research aims to enhance the efficiency and predictability of solar energy systems. The significance of this
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The experimental results show that the open circuit voltage, short-circuit current, and maximum output power of solar cells increase with the increase of light intensity.
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This study proposes the Extreme Gradient Boosting-based Solar Photovoltaic Power Generation Prediction (XGB-SPPGP) model to predict solar irradiance and power with minimal error.
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We provide a comprehensive review of experimental studies that assessed the performance of a solar chimney for power generation.
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