# Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/parallel-genetic-algorithms-for-optimizing-the-sarima-model-for-better/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mohammed Farsi,Doreswamy Hosahalli,B. R. Manjunatha,Ibrahim Gad,El‐Sayed Atlam,Althobaiti Ahmed,Ghada Elmarhomy,Mahmoud Elmarhoumy,Osama A. Ghoneim |
| Citations | 83 |
| DOI | 10.1016/j.aej.2020.10.052 |
| Fields | Decision Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1110016820305706/pdf |
| OpenAlex ID | https://openalex.org/W3097686945 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ibrahim Gad](https://scholariq.org/researchers/ibrahim-gad/)

## Paper primary topic

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

## Paper topics

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)
- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.