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Estimation of wind characteristics at different topographical conditions using doppler remote sensing instrument—a comparative study using optimization algorithm

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Abstract

This study uses novel evolutionary algorithms and computational techniques to analyze wind potential on flat, complex coastal, and offshore sites utilizing mast as well as remote sensing data. The wind data were recorded using remote sensing technique and conventional technique. The optimum Weibull parameters are estimated using nine methods. The genetic algorithm, particle swarm optimization, and TLBO algorithms are compared and evaluated. The goodness of fit test, such as root mean square error test (RMSE), mean absolute percentage error (MAPE), coefficient of determination (R2), and chi-square test (X2), is used to evaluate the accuracy of the selected methods. Parameter estimates are used to compute wind densities. The TLBO and PSO algorithms outperformed genetic algorithms in terms of efficiency. This research compares remote sensing measurements to cup anemometer measurements.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The researchers are thankful to the assistance offered by the faculties of NIT Bhopal for providing the support to facilitate this study.

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Authors and Affiliations

  1. Energy Centre, Maulana Azad National Institute of Technology, Bhopal, M.P, India

    Vikas Shende, Harsh Patidar, Prashant Baredar & Meena Agrawal

Authors
  1. Vikas Shende
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  2. Harsh Patidar
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  3. Prashant Baredar
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  4. Meena Agrawal
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Contributions

V. Shende: conceptualization, data curation, methodology, writing—original draft, review and editing, software. H. Patidar: visualization, software, validation, resources. P. Baredar: review, supervision. M. Agrawal: review, supervision.

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Correspondence to Vikas Shende.

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Shende, V., Patidar, H., Baredar, P. et al. Estimation of wind characteristics at different topographical conditions using doppler remote sensing instrument—a comparative study using optimization algorithm. Environ Sci Pollut Res 30, 48587–48603 (2023). https://doi.org/10.1007/s11356-023-25689-z

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