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Keywords: artificial neural network
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. June 2023, 145(3): 031005.
Paper No: SOL-22-1133
Published Online: October 26, 2022
... from measuring stations in Hong Kong. The artificial neural network (ANN), support vector machines (SVM), and empirical correlations were proposed for modeling K vg . Machine learning (ML) models like ANN and SVM were used because they offer more accurate daylight predictions and ease in explaining...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Sol. Energy Eng. October 2021, 143(5): 051006.
Paper No: SOL-20-1352
Published Online: March 18, 2021
... Offline Method for Extracting I-V Characteristic Curve for Photovoltaic Modules Using Artificial Neural Networks ,” Sol. Energy , 173 , pp. 462 – 469 . 10.1016/j.solener.2018.07.092 [4] Liu , L. , Liu , W. , Zhang , X. , and Ingenhoff , J. , 2018 , “ An Novel Explicit Model...
Journal Articles
Journal Articles
Publisher: ASME
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
Publisher: ASME
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
Journal Articles
Publisher: ASME
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...