Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model
Accurate estimation of battery degradation cost is one of the main barriers for battery participating on the energy arbitrage market. This paper addresses this problem by using a model-free deep reinforcement learning (DRL) method to optimize the battery energy arbitrage considering an accurate batt...
| Váldodahkkit: | , , , , , |
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| Materiálatiipa: | Journal article |
| Giella: | English |
| Almmustuhtton: |
Institute of Electrical and Electronics Engineers
2020
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