# A Comprehensive Assessment of Machine Learning Techniques for Temperature and Rainfall Forecasting: SVR vs. Decision

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-comprehensive-assessment-of-machine-learning-techniques-for-temperature-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | K. Rajathi,Alex David S,Ruth Naveena N,Ravi Kumar Suggala,Almas Begum,D Hemalatha |
| Citations | 12 |
| DOI | 10.1109/sustained63638.2024.11074027 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4412446218 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [D Hemalatha](https://scholariq.org/researchers/d-hemalatha/)

## Paper primary topic

- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)

## Paper topics

- [Meteorological Phenomena and Simulations](https://scholariq.org/topics/meteorological-phenomena-and-simulations/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [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.