Availability: Short-term load forecasting by artificial intelligent technologies

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Bibliographic Details
Other Authors:	Hong, Wei-Chiang (Editor), Li, Ming-Wei (Editor), Fan, Guo-Feng (Editor)
Format:	Electronic eBook
Language:	English
Published:	Basel ; Beijing ; Wuhan ; Barcelona ; Belgrade MDPI [2019]
Subjects:	Aufsatzsammlung
Links:	https://www.doabooks.org/doab?func=fulltext&uiLanguage=en&rid=32122
Item Description:	This is a reprint of articles from the special issue published online in the open access journal Energies (ISSN 1996-1073) from 2018 to 2019 (available at: https://www.mdpi.com/journal/energies/special_issues/Short_Term_Load_Forecasting).
Physical Description:	1 Online-Ressource
ISBN:	9783038975830

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spellingShingle	Short-term load forecasting by artificial intelligent technologies
subject_GND	(DE-588)4143413-4
title	Short-term load forecasting by artificial intelligent technologies
title_auth	Short-term load forecasting by artificial intelligent technologies
title_exact_search	Short-term load forecasting by artificial intelligent technologies
title_full	Short-term load forecasting by artificial intelligent technologies special issue editor: Wei-Chiang Hong, Ming-Wei Li, Guo-Feng Fan
title_fullStr	Short-term load forecasting by artificial intelligent technologies special issue editor: Wei-Chiang Hong, Ming-Wei Li, Guo-Feng Fan
title_full_unstemmed	Short-term load forecasting by artificial intelligent technologies special issue editor: Wei-Chiang Hong, Ming-Wei Li, Guo-Feng Fan
title_short	Short-term load forecasting by artificial intelligent technologies
title_sort	short term load forecasting by artificial intelligent technologies
topic_facet	Aufsatzsammlung
url	https://www.doabooks.org/doab?func=fulltext&uiLanguage=en&rid=32122
work_keys_str_mv	AT hongweichiang shorttermloadforecastingbyartificialintelligenttechnologies AT limingwei shorttermloadforecastingbyartificialintelligenttechnologies AT fanguofeng shorttermloadforecastingbyartificialintelligenttechnologies

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