Multi-agent reinforcement learning for chiller system prediction and energy-saving optimization in semiconductor manufacturing
Chia-Yen Lee, Yao-Wen Li, Chih-Chun Chang
| Year of publication: |
2025
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|---|---|
| Authors: | Lee, Chia-Yen ; Li, Yao-Wen ; Chang, Chih-Chun |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-7579, ZDB-ID 2020829-7. - Vol. 280.2025, Art.-No. 109488, p. 1-15
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| Subject: | Chiller energy saving | Meta-prediction | Multi-agent reinforcement learning | Multi-setpoint controller | Semiconductor manufacturing | Energieeinsparung | Energy conservation | Agentenbasierte Modellierung | Agent-based modeling | Halbleiterindustrie | Semiconductor industry | Lernprozess | Learning process | Halbleiter | Semiconductor | Lernen | Learning | Simulation | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2024.109488 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015372732