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  • 标题:METEOROLOGICAL DATA ANALYTIC SYSTEM: DESCRIPTIVE AND PREDICTIVE ANALYSIS
  • 本地全文:下载
  • 作者:DANA SHAHIN ; MOHAMMED AWAD ; SALAM FRAIHAT
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2021
  • 卷号:99
  • 期号:14
  • 语种:English
  • 出版社:Journal of Theoretical and Applied
  • 摘要: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.
  • 关键词:Weather Prediction;Weather Dashboard;Weather OLAP;Temperature Prediction;Climate Change Indicators;LSTM;Data Architecture;Weather Analysis;Power BI;SQL Data Tool
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