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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Stochastic-based Path Prediction of Wind Storms |
| Authors Name: | Tharun Sai Vaddi , Kalyan D , Chaitanya U , Dr. D. Vijaya Lakshmi |
| Unique Id: | IJSDR2306173 |
| Published In: | Volume 8 Issue 6, June-2023 |
| Abstract: | The objective of this paper is to analyze and apply the best clustering algorithm to the path prediction system of wind storms. Wind storms cause much damage to both human life and also human properties and hence predicting before it comes will be a great advantage to evacuate the place as early as possible and go to a safer place. Hence to build this we need a path prediction system. To build this system, as there will be a huge amount of previous datasets of recorded windstorms, we need a clustering algorithm which needs to give accurate output. So for this purpose, the analysis is done on both the agglomerative clustering algorithm and the K-means clustering algorithm, and the best one will later be applied to the Markov chain(MC) rule and finally will predict the accurate path. Here the path of the wind storm is predicted given the genesis point, which is the latitude and longitude of the starting point of the windstorm. Hence, applying the best clustering algorithm gives an accurate path and is critical in reducing economic loss and saving human lives |
| Keywords: | Agglomerative clustering, data preprocessing, k-means clustering, markov chain model, path prediction, stochastic model, wind storm. |
| Cite Article: | "A Stochastic-based Path Prediction of Wind Storms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 6, page no.1238 - 1243, June-2023, Available :http://www.ijsdr.org/papers/IJSDR2306173.pdf |
| Downloads: | 000337350 |
| Publication Details: | Published Paper ID: IJSDR2306173 Registration ID:206924 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: 1238 - 1243 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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