Data augmented offline deep reinforcement learning for stochastic dynamic power dispatch
Operating a power system under uncertainty while ensuring both economic efficiency and system security can be formulated as a stochastic dynamic economic dispatch (DED) problem. Deep reinforcement learning (DRL) offers a promising solution by learning dispatch policies through extensive system inter...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525002984 |
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