Forecasting Solar Power Generation Using a Novel Hybrid Deep Learning Model with Attention Mechanisms
Author:
Affiliation:
1. Gazi University,Faculty of Engineering,Ankara,Türkiye
2. Sutcu Imam University,Faculty of Engineering and Architecture Computer Engineering,Kahramanmaraş,Türkiye
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/11027100/11027103/11027258.pdf?arnumber=11027258
Reference30 articles.
1. Solar photovoltaic power prediction using different machine learning methods
2. Benchmarking reinforcement learning and prototyping development of floating solar power system: Experimental study and LSTM modeling combined with brown-bear optimization algorithm
3. Prediction of solar energy guided by pearson correlation using machine learning
4. An intelligent hybrid wavelet-adversarial deep model for accurate prediction of solar power generation
5. Solar power generation prediction based on deep Learning
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