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Development and Assessment of Machine Learning Frameworks for Accurate Load Forecasting in Industrial Systems

Wadhwa, Simran (2026) Development and Assessment of Machine Learning Frameworks for Accurate Load Forecasting in Industrial Systems. Master's, University of Bremen.

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Item URL in elib:https://elib.dlr.de/224168/
Document Type:Thesis (Master's)
Additional Information:NDA was signed, because of that thesis cannot be uploaded.
Title:Development and Assessment of Machine Learning Frameworks for Accurate Load Forecasting in Industrial Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wadhwa, SimranUniversity of BremenUNSPECIFIEDUNSPECIFIED
DLR Supervisors:
ContributionDLR SupervisorInstitution or E-MailDLR Supervisor's ORCID iD
Thesis advisorGerndt, AndreasAndreas.Gerndt (at) dlr.dehttps://orcid.org/0000-0002-0409-8573
Thesis advisorRajakaruna Wanigasekara, ChathuraChathura.Wanigasekara (at) dlr.dehttps://orcid.org/0000-0003-4371-6108
Date:2026
Open Access:No
Number of Pages:92
Status:Published
Keywords:Load Forecasting, Industrial Systems
Institution:University of Bremen
Department:Centre for Industrial Mathematics
HGF - Research field:Energy
HGF - Program:other
HGF - Program Themes:E - no assignment
DLR - Research area:Energy
DLR - Program:E - no assignment
DLR - Research theme (Project):E - no assignment
Location: Geesthacht
Institutes and Institutions:Institute of Software Technology > Visual Computing and Engineering
Institute of Maritime Technologies and Propulsion Systems > Energy Converters and Systems
Deposited By: Rajakaruna Wanigasekara, Chathura
Deposited On:27 Apr 2026 09:32
Last Modified:11 May 2026 06:55

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