文章基本信息

标题：METEOROLOGICAL DATA ANALYTIC SYSTEM: DESCRIPTIVE AND PREDICTIVE ANALYSIS
本地全文：下载
作者：DANA SHAHIN ; MOHAMMED AWAD ; SALAM FRAIHAT 等
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