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Forecasting Solar Radiation Data Using Gaussian and Polynomial Fitting Methods

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Sustainable Electrical Power Resources through Energy Optimization and Future Engineering

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

Abstract

Solar radiation prediction is an important task prior to installation of solar photovoltaic panel or to estimate the amount solar radiation received at certain time with respective location. The main objective of the work presented in this chapter is to perform fitting for solar radiation data by using polynomials, Gaussian function and sine fitting as well as Jain’s methods. Comparison among all methods are measured by using Root Mean Square Error (RMSE) and the coefficient of determination, R². Two fitting models are proposed for the prediction of solar radiation in the campus of Universiti Teknologi PETRONAS (UTP), Malaysia..

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Author information

Authors and Affiliations

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

    Samsul Ariffin Abdul Karim

  2. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Bandar Seri Iskandar, 32610, Seri Iskandar, Perak DR, Malaysia

    Muhammad Adlan Abdul Jalil, Zuhairi Baharuddin & Mohd Faris Abdullah

  3. Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS (UTP), Bandar Seri Iskandar, 32610, Seri Iskandar, Perak DR, Malaysia

    Mahmod Othman

Authors
  1. Muhammad Adlan Abdul Jalil
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  2. Samsul Ariffin Abdul Karim
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  3. Zuhairi Baharuddin
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  4. Mohd Faris Abdullah
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  5. Mahmod Othman
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Corresponding author

Correspondence to Samsul Ariffin Abdul Karim .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Shaharin Anwar Sulaiman

  2. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Ramani Kannan

  3. Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Samsul Ariffin Abdul Karim

  4. Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia

    Nursyarizal Mohd Nor

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Abdul Jalil, M.A., Abdul Karim, S.A., Baharuddin, Z., Abdullah, M.F., Othman, M. (2018). Forecasting Solar Radiation Data Using Gaussian and Polynomial Fitting Methods. In: Sulaiman, S., Kannan, R., Karim, S., Mohd Nor, N. (eds) Sustainable Electrical Power Resources through Energy Optimization and Future Engineering. SpringerBriefs in Energy. Springer, Singapore. https://doi.org/10.1007/978-981-13-0435-4_2

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  • DOI: https://doi.org/10.1007/978-981-13-0435-4_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0434-7

  • Online ISBN: 978-981-13-0435-4

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