WOA-FCM-CNN-WNN-informer: An advanced hybrid deep learning model for ultra-accurate PV power forecasting in electric mobility

Puntos clave

• Ultra-accurate PV power forecasting achieved using a novel hybrid deep learning model.
• The model integrates neural networks, enhancing prediction capabilities for electric mobility applications.
• Assessment includes time series data analysis, demonstrating significant improvements over existing methods.
• This hybrid approach may enable better energy management strategies in renewable energy systems.