Modelling of Two Training Approaches Using Reinforcement Learning for Real-time Optimization of Hybrid Microgrids
Reinforcement learning has been employed in recent research articles to optimize the energy storage system scheduling in microgrids, aiming to reduce overall system costs. However, applying reinforcement learning in real-time scenarios introduces uncertainties and delays due to the extensive traini...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National University of Sciences and Technology, Islamabad
2023-11-01
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| Series: | NUST Journal of Engineering Sciences |
| Online Access: | https://journals.nust.edu.pk/index.php/njes/article/view/757 |