Improved Deep Reinforcement Learning with Logistic Map for Microgrid Energy Management
Providing the optimal solution while reducing computational time in solving the energy management task is more challenging for developing an Energy Management System (EMS) of a Microgrid (MG), especially when considering cost minimization and protection against MG constraint violations. A state-of-t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/29/e3sconf_icfee2025_06001.pdf |
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