Federated duelling deep Q‐network based collaborative energy scheduling for a power distribution network
Abstract The collaborative energy scheduling of source‐load‐energy storage has great potential to meet the active control requirements of power‐distribution networks. In this study, a federated deep reinforcement learning framework was developed to facilitate collaborative energy scheduling and maxi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Energy Conversion and Economics |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/enc2.70012 |
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