Short-term electrical load forecasting for the electrical supply company with deep neural network

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Datum:2018
Hauptverfasser: P. O. Chernenko, V. O. Miroshnyk
Format: Artikel
Sprache:Englisch
Veröffentlicht: 2018
Schriftenreihe:Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0000906817
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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Library portal of National Academy of Sciences of Ukraine | LibNAS
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author P. O. Chernenko
V. O. Miroshnyk
author_facet P. O. Chernenko
V. O. Miroshnyk
author_sort P. O. Chernenko
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institution Library portal of National Academy of Sciences of Ukraine | LibNAS
language English
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publishDate 2018
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series Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
spelling open-sciencenbuvgovua-281612024-02-27T21:50:04Z Short-term electrical load forecasting for the electrical supply company with deep neural network P. O. Chernenko V. O. Miroshnyk 1727-9895 2018 en Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine http://jnas.nbuv.gov.ua/article/UJRN-0000906817 Article
spellingShingle Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
P. O. Chernenko
V. O. Miroshnyk
Short-term electrical load forecasting for the electrical supply company with deep neural network
title Short-term electrical load forecasting for the electrical supply company with deep neural network
title_full Short-term electrical load forecasting for the electrical supply company with deep neural network
title_fullStr Short-term electrical load forecasting for the electrical supply company with deep neural network
title_full_unstemmed Short-term electrical load forecasting for the electrical supply company with deep neural network
title_short Short-term electrical load forecasting for the electrical supply company with deep neural network
title_sort short-term electrical load forecasting for the electrical supply company with deep neural network
url http://jnas.nbuv.gov.ua/article/UJRN-0000906817
work_keys_str_mv AT pochernenko shorttermelectricalloadforecastingfortheelectricalsupplycompanywithdeepneuralnetwork
AT vomiroshnyk shorttermelectricalloadforecastingfortheelectricalsupplycompanywithdeepneuralnetwork