Energy-Flexible Job-Shop Scheduling Using Deep Reinforcement Learning
Considering its high energy demand, the manufacturing industry has grand potential for demand response studies to increase the use of clean energy while reducing its own electricity cost. Production scheduling, driven by smart demand response services, plays a major role in adjusting the manufacturi...
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| Glavni autori: | , , , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek
2023-01-01
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| Serija: | Proceedings of the Conference on Production Systems and Logistics |
| Teme: | |
| Online pristup: | https://repo.uni-hannover.de/handle/123456789/13564 |
| Oznake: |
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