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LSTM for Near Real-Time Solar Forecasting by tanthanh.learning is a document available to read on EtoBox.
This paper presents a long short-term memory (LSTM) network model for near-real-time global solar radiation forecasting at multiple time horizons (1, 5, 10, 15, and 30 minutes). The LSTM model outperforms traditional forecasting methods, achieving a correlation coefficient exceeding 0.90, and demonstrates its practical utility in renewable energy studies. The study emphasizes the importance of accurate solar energy forecasting for effective energy management and grid integration, particularly in Vietnam
- Author
- tanthanh.learning
- Language
- EN