Applied Data Analysis and Modeling for Energy Engineers and Scientists

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Hauptverfasser: Reddy, T. Agami (VerfasserIn), Henze, Gregor P. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cham Springer International Publishing 2023
Cham Springer
Ausgabe:2nd ed. 2023
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Datensatz im Suchindex

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author Reddy, T. Agami
Henze, Gregor P.
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Henze, Gregor P.
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discipline Elektrotechnik
Wirtschaftswissenschaften
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Springer
record_format marc
spellingShingle Reddy, T. Agami
Henze, Gregor P.
Applied Data Analysis and Modeling for Energy Engineers and Scientists
Energy Policy, Economics and Management
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Data Analysis and Big Data
Electrical Power Engineering
Mathematical Modeling and Industrial Mathematics
Energy policy
Energy and state
Statistics 
Quantitative research
Electric power production
Mathematical models
title Applied Data Analysis and Modeling for Energy Engineers and Scientists
title_auth Applied Data Analysis and Modeling for Energy Engineers and Scientists
title_exact_search Applied Data Analysis and Modeling for Energy Engineers and Scientists
title_exact_search_txtP Applied Data Analysis and Modeling for Energy Engineers and Scientists
title_full Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy, Gregor P. Henze
title_fullStr Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy, Gregor P. Henze
title_full_unstemmed Applied Data Analysis and Modeling for Energy Engineers and Scientists by T. Agami Reddy, Gregor P. Henze
title_short Applied Data Analysis and Modeling for Energy Engineers and Scientists
title_sort applied data analysis and modeling for energy engineers and scientists
topic Energy Policy, Economics and Management
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Data Analysis and Big Data
Electrical Power Engineering
Mathematical Modeling and Industrial Mathematics
Energy policy
Energy and state
Statistics 
Quantitative research
Electric power production
Mathematical models
topic_facet Energy Policy, Economics and Management
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Data Analysis and Big Data
Electrical Power Engineering
Mathematical Modeling and Industrial Mathematics
Energy policy
Energy and state
Statistics 
Quantitative research
Electric power production
Mathematical models
url https://doi.org/10.1007/978-3-031-34869-3
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