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A method of data mining for selection of site for wind turbines

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  • Shaheen, Muhammad
  • Khan, Muhammad Zeb

Abstract

The paper aims at proposing a data mining framework which will help in selection of suitable site for wind turbine׳s installation. After thorough the literature review, a list of indicators is prepared which is used for analysis of a particular site consisting of wind speed, different built-ups, and distance of existing energy installations from the prospect site, cost dependent factors, and ecological impacts. These dimensions caused increase in the attributes of dataset which are then reduced by using principal component analysis. The resulting components are regressed by using multiple regression technique. These techniques are applied on an integrated database which is prepared by storing the data of 39 sites in Pakistan. The prediction of the model developed for the wind energy site has been found to be significantly accurate when compared with expert opinion and previous studies.

Suggested Citation

  • Shaheen, Muhammad & Khan, Muhammad Zeb, 2016. "A method of data mining for selection of site for wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1225-1233.
    • Handle: RePEc:eee:rensus:v:55:y:2016:i:c:p:1225-1233
    DOI: 10.1016/j.rser.2015.04.015
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    References listed on IDEAS

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    1. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    2. Sheikh, Munawar A., 2010. "Energy and renewable energy scenario of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 354-363, January.
    3. David L. Olson & Dursun Delen, 2008. "Advanced Data Mining Techniques," Springer Books, Springer, number 978-3-540-76917-0, June.
    4. Mirza, Irfan Afzal & Khan, Nasim A. & Memon, Naeem, 2010. "Development of benchmark wind speed for Gharo and Jhimpir, Pakistan," Renewable Energy, Elsevier, vol. 35(3), pages 576-582.
    5. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808, Decembrie.
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    Cited by:

    1. Asadi, Meysam & Pourhossein, Kazem, 2021. "Wind farm site selection considering turbulence intensity," Energy, Elsevier, vol. 236(C).
    2. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    3. Cuadra, L. & Ocampo-Estrella, I. & Alexandre, E. & Salcedo-Sanz, S., 2019. "A study on the impact of easements in the deployment of wind farms near airport facilities," Renewable Energy, Elsevier, vol. 135(C), pages 566-588.

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