Modeling and estimation of solar radiation of Karachi through artificial neural network (ANN) using temperature and dew-point Article Swipe
Atif Idrees
,
Naeem Sadiq
,
Mahwish Mobeen Khan
,
Syed Ahmed Hassan
,
Zaheer Uddin Khan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22581/muet1982.2303.13
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.22581/muet1982.2303.13
The most influential source of energy in our lives is solar energy. Solar energy reaches the earth in three different forms, i.e., Global, diffused, and Direct Solar Radiation. The Solar flux at the earth's surface depends on the intensity of these radiations and is a function of the values of latitude and longitude. The earth's temperature and hence dewpoint are greatly affected by solar flux. This idea is used for predicting solar radiation with input parameters, temperature, and dewpoint along with day number and month. The method of prediction of solar radiation used in the study is Artificial Neural Network (ANN). ANN has four variables in the input, ten neurons in the hidden layer, and three output parameters GSR. DSR and BSR. Six different types of errors, namely, Root Mean Square error (RMSE), Mean Absolute Error (MABE), Mean percent error (MAPE), Chi-square, Coefficient of Determination, Kolmogorov Smirnov, have been calculated for training, testing, and validation mode to check the accuracy of estimation. The values of all the errors are low, which indicates the prediction of solar radiation is reliable.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22581/muet1982.2303.13
- https://publications.muet.edu.pk/index.php/muetrj/article/download/2777/713
- OA Status
- diamond
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385270833
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4385270833Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22581/muet1982.2303.13Digital Object Identifier
- Title
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Modeling and estimation of solar radiation of Karachi through artificial neural network (ANN) using temperature and dew-pointWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-07-21Full publication date if available
- Authors
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Atif Idrees, Naeem Sadiq, Mahwish Mobeen Khan, Syed Ahmed Hassan, Zaheer Uddin KhanList of authors in order
- Landing page
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https://doi.org/10.22581/muet1982.2303.13Publisher landing page
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https://publications.muet.edu.pk/index.php/muetrj/article/download/2777/713Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://publications.muet.edu.pk/index.php/muetrj/article/download/2777/713Direct OA link when available
- Concepts
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Mean squared error, Dew point, Mean absolute percentage error, Artificial neural network, Solar energy, Radiation, Meteorology, Environmental science, Mathematics, Statistics, Computer science, Physics, Engineering, Artificial intelligence, Optics, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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14Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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