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What is Hybrid CNN-LSTM Model With Soft Attention Mechanis about?

This research article presents a novel hybrid CNN–LSTM model with a soft attention mechanism aimed at improving short-term load forecasting (STLF) in smart grids. The model effectively integrates spatial and temporal data to enhance predictive performance, achieving superior results on two datasets, American Electric Power (AEP) and ISO New England (ISONE). The findings demonstrate that the proposed model significantly supports the resilience and adaptability of smart grids while optimizing renewable energy

Author

phuclenguyentruong

Language

EN