Optimizing control of waste incineration plants using reinforcement learning and digital twins
Martin Schlappa, Jonas Hegemann, and Stefan Spinler
| Year of publication: |
2024
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|---|---|
| Authors: | Schlappa, Martin ; Hegemann, Jonas ; Spinler, Stefan |
| Published in: |
IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society. - New York, NY : IEEE, ISSN 1558-0040, ZDB-ID 2021741-9. - Vol. 71.2024, p. 3076-3087
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| Subject: | Combustion optimization | data-drivensimulation | deep reinforcement learning | digital twin | optimalcontrol | power plants | waste incineration nonlinear optimization | Theorie | Theory | Lernprozess | Learning process | Abfallentsorgung | Waste disposal | Digitalisierung | Digitization | Lernen | Learning | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1109/TEM.2022.3201434 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015405936