Modeling and Estimation of Solar Radiation through Artificial Neural Network using known Solar Data Article Swipe

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Atif Idrees , Naeem Sadiq , Mahwish Khan , Ahmed Hassan , Zaheer Uddin ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.30955/gnj.004605

The paper attempts to discover a city's global, direct beam, and diffused solar radiation with the help of known solar radiation of its neighbor(s). Two distinctive architecture have been used to find the solar radiation of a city. In the first architecture, we used single input and a single hidden layer of the neuron to find the solar radiation of the city. The solar radiation of Lahore, Multan, and Quetta was found via the solar radiation of Karachi. In the second architecture scheme, we used three inputs and ten neurons' hidden layers to find the solar radiation of a city in the region bounded by three cities lying at the vertices of a triangle. Multan was assumed as such an area; its neighboring cities, Lahore, Quetta, and Karachi, form a triangle, and Multan lies inside the triangle area. In both architectures, three types of solar radiation, DSR, BSR, and GSR, were found with an accuracy of 99.8 %. The coefficient of determination in each case was 0.99. It shows that the results obtained through ANN models agree well with the known values.

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Artificial Intelligence

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Radiation Artificial neural network Geography Physics Computer science Optics Artificial intelligence

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Type: article
Language: en
Landing Page: https://doi.org/10.30955/gnj.004605
PDF: https://journal.gnest.org/sites/default/files/Submissions/gnest_04605/gnest_04605_proof.pdf
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Cited By: 1
References: 24
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DOI: https://doi.org/10.30955/gnj.004605

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Title: Modeling and Estimation of Solar Radiation through Artificial Neural Network using known Solar Data

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Language: en

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Publication year: 2023

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Publication date: 2023-08-12

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Authors: Atif Idrees, Naeem Sadiq, Mahwish Khan, Ahmed Hassan, Zaheer Uddin

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Landing page: https://doi.org/10.30955/gnj.004605

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Concepts: Radiation, Artificial neural network, Geography, Physics, Computer science, Optics, Artificial intelligence

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Cited by: 1

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