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Keywords: artificial neural network
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Journal Articles
Article Type: Research Papers
J. Sol. Energy Eng. October 2021, 143(5): 051006.
Paper No: SOL-20-1352
Published Online: March 18, 2021
... of photovoltaic modules. Consequently, there are some attempts to utilize learning machines for this problem. In Ref. [ 30 ], the authors proposed an artificial neural network-based approach to predict the I – V curve. The inputs of this network are solar radiation, cell temperature, voltage, and current...
Journal Articles
Article Type: Research Papers
J. Sol. Energy Eng. October 2021, 143(5): 051002.
Paper No: SOL-20-1054
Published Online: February 12, 2021
...-integrated photovoltaic thermal (BPV/T) unit. The unit provides preheating/precooling of outdoor air in cold/warm days and generates electricity throughout the year. The employed methods are artificial neural network (ANN), support vector machine network (SVMN), and fuzzy network (FN). These techniques...
Journal Articles
Article Type: Research Papers
J. Sol. Energy Eng. August 2021, 143(4): 041003.
Paper No: SOL-20-1076
Published Online: November 20, 2020
...) and the perturb-and-observe (P&O). The second example is to combine two AI-based MPPT, which are the artificial neural network (ANN) and the fuzzy logic control (FLC). The simulation results of the application of the proposed algorithm to a grid-connected PV system model justify its capability to acquire...
Journal Articles
Article Type: Research Papers
J. Sol. Energy Eng. June 2020, 142(3): 031003.
Paper No: SOL-19-1206
Published Online: November 26, 2019
..., especially its drastic increases and decreases, is critical to stabilize the network. In this research, a simple method utilizing artificial neural networks to predict large increases and decreases in global solar irradiance is developed. The red–blue ratio (RBR) values, which are extracted from a set...
Journal Articles
Article Type: Research Papers
J. Sol. Energy Eng. April 2020, 142(2): 021009.
Paper No: SOL-19-1133
Published Online: November 8, 2019
... artificial neural network clear sky index principal component analysis wavelet decomposition daily prediction As the strong increase of solar power generation, solar radiation forecasting is becoming more and more important. However, solar radiation received at the Earth's surface depends...
Journal Articles
Article Type: Technical Briefs
J. Sol. Energy Eng. August 2012, 134(3): 034501.
Published Online: May 7, 2012
... models were investigated in this study—the linear regression (LR), Angstrom–Prescott–Page (APP), and the artificial neural network (ANN) models. The mean global solar radiation coupled with the climate data (mean minimum and maximum temperatures, mean rainfall, mean evaporation, and sunshine fraction...