Verfügbarkeit: Application of Machine Learning and Deep Learning Methods to Power System Problems

Application of Machine Learning and Deep Learning Methods to Power System Problems:

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Bibliographische Detailangaben
Weitere Verfasser:	Nazari-Heris, Morteza (HerausgeberIn), Asadi, Somayeh (HerausgeberIn), Mohammadi-Ivatloo, Behnam (HerausgeberIn), Abdar, Moloud (HerausgeberIn), Jebelli, Houtan (HerausgeberIn), Sadat-Mohammadi, Milad (HerausgeberIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer International Publishing 2021 Cham Springer
Ausgabe:	1st ed. 2021
Schriftenreihe:	Power Systems
Schlagworte:	Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state Aufsatzsammlung
Online-Zugang:	BTU01 FAB01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 HTW01 TUM01 UBT01 UBY01 Volltext
Beschreibung:	1 Online-Ressource (IX, 391 p. 120 illus)
ISBN:	9783030776961
ISSN:	1860-4676
DOI:	10.1007/978-3-030-77696-1

Internformat

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Datensatz im Suchindex

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discipline	Energietechnik, Energiewirtschaft Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik
discipline_str_mv	Energietechnik, Energiewirtschaft Informatik Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik
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series2	Power Systems
spellingShingle	Application of Machine Learning and Deep Learning Methods to Power System Problems Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state
subject_GND	(DE-588)4143413-4
title	Application of Machine Learning and Deep Learning Methods to Power System Problems
title_auth	Application of Machine Learning and Deep Learning Methods to Power System Problems
title_exact_search	Application of Machine Learning and Deep Learning Methods to Power System Problems
title_exact_search_txtP	Application of Machine Learning and Deep Learning Methods to Power System Problems
title_full	Application of Machine Learning and Deep Learning Methods to Power System Problems edited by Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi
title_fullStr	Application of Machine Learning and Deep Learning Methods to Power System Problems edited by Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi
title_full_unstemmed	Application of Machine Learning and Deep Learning Methods to Power System Problems edited by Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Moloud Abdar, Houtan Jebelli, Milad Sadat-Mohammadi
title_short	Application of Machine Learning and Deep Learning Methods to Power System Problems
title_sort	application of machine learning and deep learning methods to power system problems
topic	Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state
topic_facet	Power Electronics, Electrical Machines and Networks Energy Systems Machine Learning Energy Policy, Economics and Management Power electronics Energy systems Machine learning Energy policy Energy and state Aufsatzsammlung
url	https://doi.org/10.1007/978-3-030-77696-1
work_keys_str_mv	AT nazariherismorteza applicationofmachinelearninganddeeplearningmethodstopowersystemproblems AT asadisomayeh applicationofmachinelearninganddeeplearningmethodstopowersystemproblems AT mohammadiivatloobehnam applicationofmachinelearninganddeeplearningmethodstopowersystemproblems AT abdarmoloud applicationofmachinelearninganddeeplearningmethodstopowersystemproblems AT jebellihoutan applicationofmachinelearninganddeeplearningmethodstopowersystemproblems AT sadatmohammadimilad applicationofmachinelearninganddeeplearningmethodstopowersystemproblems

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