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This study evaluates traditional and machine learning methods for forecasting battery sales in Thailand, utilizing data from January 2018 to December 2023. The research finds that a hybrid model combining Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks achieves the highest accuracy with a Mean Absolute Percentage Error (MAPE) of 8.83%, outperforming traditional models. The findings provide a robust framework for enhancing decision-making in the automotive battery industry by inte

Author

liruofan007

Language

EN