How can machine learning improve waste-to-energy plant operation-Reference-Cited by-同舟云学术

How can machine learning improve waste-to-energy plant operation

Published:2022-06-19 Issue: Volume: Page:
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Container-title:2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference
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Author:

Pehlken Alexandra¹^ORCID,Garmatter Henriette²,Dawel Lisa¹,Cyris Fabian³,Beck Hendrik¹,Schwark Fenja¹,Scharf Roland²,Niebe Astrid⁴

Affiliation:

1. OFFIS Institute for Information Technology,R&D Division Manufacturing,Oldenburg,Germany

2. Institut für Kraftwerkstechnik und Wärmeübertragung Leibniz Universität,Hannover,Germany

3. Abteilung Technik EEW Energy from Waste GmbH,Helmstedt,Germany

4. OFFIS Institute for Information Technology,R&D Division Energy,Oldenburg,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10032842/10033129/10033210.pdf?arnumber=10033210

Reference29 articles.

1. Machine learning models for prediction the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) for waste-to-energy evaluation

2. Optimierte instandhaltungsstrategien in der thermischen abfallverwertung - künstliche intelligenz und high quality key performance indicators steigern verfügbarkeit;maciejewski;VGB PowerTech,2020

3. Industry 4.0 based process data analytics platform: A waste-to-energy plant case study

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