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Review of Techniques and Algorithms of Temperature Prediction Using Artificial Intelligence

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This review shows AI-based temperature prediction methods in 48 studies, suggesting effective algorithms for optimizing forecasts.

Deep learning models dominated the techniques used, with 35% of studies employing them for temperature prediction.
About 74% of the research applied specialized predictive algorithms tailored specifically for forecasting temperature.
Data from sensor-based climate inputs was utilized in nearly half of the studies, highlighting the importance of real-time data.
This analysis reveals significant regional contributions, with Asia, particularly India, being a leading contributor to the research output.

Toama et al. (2025) studied this question.

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