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Role of Machine Learning in Weather Related Event Predictions for a Smart City

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

Part of the book series: Studies in Computational Intelligence ((SCI,volume 971))

Abstract

Weather related event prediction is always a fascinating problem for scientists due to its importance in different sectors of life. This chapter has used machine learning algorithms to predict events like rainfall, thunderstorm, and fog in a large metropolitan city. The study proposed here has particularly focused on the long-term event predictions which is currently missing in the state of the artwork. Different machine learning algorithms mainly Random Forest, Gradient Boosting Classifier, Logistic Regression, and others were used to learn the model. Five years of meteorological data was used for this purpose. Different algorithms showed accuracy more than 90%, among which Random Forest outperformed the other algorithms by achieving the highest accuracy.

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Author information

Authors and Affiliations

  1. DHA Suffa University, and KIET Karachi, Karachi, Pakistan

    Muhammad Azmi Umer

  2. Karachi Institute of Economics and Technology, Karachi, Pakistan

    Muhammad Taha Jilani

  3. Love For Data, Karachi, Pakistan

    Khurum Nazir Junejo

  4. DHA Suffa University, Karachi, Pakistan

    Sulaman Ahmad Naz & Conrad Walter D’Silva

Authors
  1. Muhammad Azmi Umer
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  2. Muhammad Taha Jilani
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  3. Khurum Nazir Junejo
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  4. Sulaman Ahmad Naz
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  5. Conrad Walter D’Silva
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Corresponding author

Correspondence to Muhammad Azmi Umer .

Editor information

Editors and Affiliations

  1. Department of EECS, Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  2. ENSAK, Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Yassine Maleh

  3. Charles Darwin University, Darwin, NT, Australia

    Mamoun Alazab

  4. Department of Computer Science and Engineering, Independent University, Dhaka, Bangladesh

    Al-Sakib Khan Pathan

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Cite this chapter

Umer, M.A., Jilani, M.T., Junejo, K.N., Naz, S.A., D’Silva, C.W. (2021). Role of Machine Learning in Weather Related Event Predictions for a Smart City. In: Ghosh, U., Maleh, Y., Alazab, M., Pathan, AS.K. (eds) Machine Intelligence and Data Analytics for Sustainable Future Smart Cities. Studies in Computational Intelligence, vol 971. Springer, Cham. https://doi.org/10.1007/978-3-030-72065-0_4

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