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 language | English |
|---|---|
| Pages (from-to) | 3503-3516 |
| Number of pages | 14 |
| Journal | Journal of Theoretical and Applied Information Technology |
| Volume | 99 |
| Issue number | 14 |
| State | Published - 31 Jul 2021 |
| Externally published | Yes |
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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