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Fuzzy Regression Model to Predict Daily Global Solar Radiation

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Practical Examples of Energy Optimization Models

Part of the book series: SpringerBriefs in Energy ((BRIEFSENERGY))

Abstract

The Fuzzy regression model provides a good alternative to the standard regression model that existing in statistics as well as engineering based studies. In this study, a new fuzzy regression model is introduced by incorporating the crisp and the spreading for the fuzziness of the data. The fuzzy triangular number is employed to obtain the fuzzy regression equation, i.e. left and right fuzzy quadratic regression model. This model will be used to predict the amount of solar radiation received at Universiti Teknologi PETRONAS (UTP), Malaysia.

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References

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Acknowledgements

This study is fully supported by Universitas Islam Riau (UIR), Pekanbaru, Indonesia and Universiti Teknologi PETRONAS (UTP), Malaysia through International Collaborative Research Funding (ICRF): 015ME0-037. The first author is currently doing his internship at UTP under Research Attachment Program (RAP).

Author information

Authors and Affiliations

  1. Universiti Teknologi MARA (Terengganu) Kampus Kuala Terengganu, 21080, Kuala Terengganu, Terengganu Darul Iman, Malaysia

    Muhammad Irfan Yasin

  2. Fundamental and Applied Sciences Department and Centre for Smart Grid Energy Research (CSMER), Institute of Autonomous System, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia

    Samsul Ariffin Abdul Karim

  3. School of Mathematical Sciences, Universiti Sains Malaysia, 11800, USM Minden, Penang, Malaysia

    Mohd Tahir Ismail

  4. Department of Computer Science & Engineering, Faculty of Applied Sciences, University of West Bohemia, Univerzitni 8, CZ 306 14 Plzen, Czech Republic

    Vaclav Skala

Authors
  1. Muhammad Irfan Yasin
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  2. Samsul Ariffin Abdul Karim
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  3. Mohd Tahir Ismail
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  4. Vaclav Skala
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Corresponding author

Correspondence to Samsul Ariffin Abdul Karim .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia

    Samsul Ariffin Abdul Karim

  2. Department of Electrical and Electronic Engineering, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia

    Mohd Faris Abdullah

  3. Department of Electrical and Electronic Engineering, Universiti Teknologi Petronas, Seri Iskandar, Perak, Malaysia

    Ramani Kannan

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Yasin, M.I., Karim, S.A.A., Ismail, M.T., Skala, V. (2020). Fuzzy Regression Model to Predict Daily Global Solar Radiation. In: Karim, S., Abdullah, M., Kannan, R. (eds) Practical Examples of Energy Optimization Models. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-15-2199-7_1

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  • DOI: https://doi.org/10.1007/978-981-15-2199-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2198-0

  • Online ISBN: 978-981-15-2199-7

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