- Sensorgestützte, flexible, zweitstufige Biogasproduktion durch Regelung auf Basis eines künstlichen neuronalen Netzes; Teilvorhaben 1: Abbildung einer flexiblen Biogasproduktion auf Basis eines künstlichen neuronalen Netzes. , Ed.: Bundesministeriums für Ernährung und Landwirtschaft (BMEL), Fachagentur Nachwachsende Rohstoffe e.V. (FNR) , Technische Informationsbibliothek (TIB), Leibniz Information Centre for Science and Technology University Library, Repositorium für Naturwissenschaften und Technik (RENATE) (Hannover) , 2025, more…
- State estimation of a biogas plant based on spectral analysis using a combination of machine learning and metaheuristic algorithms. Applied Energy 377, 2025, 124447 more…
- Dynamic Operation of Battery Storage Systems for Residual Load Smoothing. 2025 IEEE Conference on Control Technology and Applications (CCTA), IEEE, 2025, 383-388 more…
- Positioning a Measurement System for Determining the Mixing Quality in Biogas Digesters. Chemical Engineering & Technology, 2023 more…
- Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning. International Journal of Chemical Engineering 2023, 2023, 1-11 more…
- Real-world application of a discrete feedback control system for flexible biogas production. Advanced Modeling and Simulation in Engineering Sciences 10 (1), 2023 more…
Lingga Aksara Putra, M.Sc.
- Phone: +49 (9421) 187 - 118
- Fax: +49 9421 187 111
- Room: 3501.EG.010A
- E-mail: lingga_aksara.putra(at)tum.de
About
| 2014 - 2017 | Study of Electrical and Automation Engineering (B.Eng.) at the Karlsruhe University of Applied Sciences - Technology and Economics |
| 2018 - 2020 | Study of Electrical Engineering and Information Technology (M.Sc.) at Darmstadt University of Technology |
| since March 2021 | Research Associate at the Professorship of Regenerative Energy Systems |
Publications
Patents
Patent DE: "Verfahren zur Bestimmung der Zuladungsmasse eines Fahrzeugs"
Bibliographic data:
https://depatisnet.dpma.de/DepatisNet/depatisnet?window=1&space=menu&content=treffer&action=bibdat&docid=DE102021211439A1
Patent application:
https://depatisnet.dpma.de/DepatisNet/depatisnet?action=pdf&firstdoc=0&docid=DE102021211439A1
Patent US: "Method for determining the payload mass of a vehicle"
Bibliographic data:
https://patentcenter.uspto.gov/applications/17894251
Patent application:
https://image-ppubs.uspto.gov/dirsearch-public/print/downloadPdf/20230113559
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