CNN–LSTM Hybrid Model for Coastal Weather Forecasting in Visakhapatnam

Key Points

• The research aims to assess the effectiveness of a CNN-LSTM hybrid model for coastal weather forecasting.
• Utilized a hybrid CNN-LSTM framework for predictive modeling.
• Collected historical weather data for Visakhapatnam.
• Conducted model evaluation using performance metrics like accuracy and precision.
• The hybrid model significantly outperformed traditional forecasting methods.
• Forecast accuracy improved by a notable percentage compared to baseline models.
• Achieved better results in predicting temperature and precipitation patterns.

Abstract