Dynamic prediction of photovoltaic maximum power based on sensor network multimodal data and Transformer-LSTM

Key Points

• To develop a predictive model for photovoltaic maximum power output utilizing sensor network multimodal data.
• Used a Transformer-LSTM model for data analysis.
• Collected multimodal data from sensor networks.
• Evaluated prediction accuracy using real-time data.
• Achieved improved prediction accuracy for maximum power output.
• Demonstrated enhanced efficiency in energy management strategies.