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Meteorological data analytic system: Descriptive and predictive analysis

  • Princess Sumaya University for Technology
  • American University of Ras Al Khaimah

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Weather can be described as the status of the atmospheric conditions at a specific time. on the other hand, climate is the weather’s status over a long period. both are very important for people’s life management on multiple levels. Weather prediction is a complicated process that requires input from experts. This paper describes a weather business intelligence solution starting from requirements gathering and analysis all the way to the creation of a dashboard with weather prediction capabilities based on a machine learning technique to fulfill the business needs. In this paper, we used Long Short-Term Memory (LSTM) to predict the weather with high accuracy.

Original languageEnglish
Pages (from-to)3503-3516
Number of pages14
JournalJournal of Theoretical and Applied Information Technology
Volume99
Issue number14
StatePublished - 31 Jul 2021
Externally publishedYes

Keywords

  • Climate Change Indicators
  • Data Architecture
  • LSTM
  • Power BI
  • SQL Data Tool
  • Temperature Prediction
  • Weather Analysis
  • Weather Dashboard
  • Weather OLAP
  • Weather Prediction

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