A recent study by Khan and colleagues presents a hybrid ML model integrating STL decomposition with ARIMA and LSTM techniques to forecast heatwaves. Using 42 years of data from Rajshahi, Bangladesh, the model demonstrates promising accuracy with low error metrics. Consider reviewing this approach to enhance early warning systems for extreme weather.

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Developing a seasonal-adjusted machine-learning-based hybrid time‑series model to forecast heatwave warning