Artificial neural networks as the data ruling components of future intelligent energy systems

Artificial neural networks as the data ruling components of future intelligent energy systems

The main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy consumers. The accelerating growth in the field o...

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Main Authors: Buran Anna, Denisov Maksim
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201714101049
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spelling doaj-7d500cc4e9954b4abdacf7739567635a2021-02-02T06:46:01ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011410104910.1051/matecconf/201714101049matecconf_smartgrids2017_01049Artificial neural networks as the data ruling components of future intelligent energy systemsBuran Anna0Denisov Maksim1National Research Tomsk Polytechnic UniversityNational Research Tomsk Polytechnic UniversityThe main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy consumers. The accelerating growth in the field of software engineering research will prove appearing of neural networks in intelligent energy systems. This study is expected to be important for researchers and engineers studying artificial neural networks (ANNs) in a wide range of domains.https://doi.org/10.1051/matecconf/201714101049
collection DOAJ
language English
format Article
sources DOAJ
author Buran Anna
Denisov Maksim
spellingShingle Buran Anna
Denisov Maksim
Artificial neural networks as the data ruling components of future intelligent energy systems
MATEC Web of Conferences
author_facet Buran Anna
Denisov Maksim
author_sort Buran Anna
title Artificial neural networks as the data ruling components of future intelligent energy systems
title_short Artificial neural networks as the data ruling components of future intelligent energy systems
title_full Artificial neural networks as the data ruling components of future intelligent energy systems
title_fullStr Artificial neural networks as the data ruling components of future intelligent energy systems
title_full_unstemmed Artificial neural networks as the data ruling components of future intelligent energy systems
title_sort artificial neural networks as the data ruling components of future intelligent energy systems
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2017-01-01
description The main target of this work is to study artificial neural networks and their role in the future intelligent energy systems. Artificial neural networks in the near future will be a very effective tool for data analysis and very perspective for energy consumers. The accelerating growth in the field of software engineering research will prove appearing of neural networks in intelligent energy systems. This study is expected to be important for researchers and engineers studying artificial neural networks (ANNs) in a wide range of domains.
url https://doi.org/10.1051/matecconf/201714101049
work_keys_str_mv AT burananna artificialneuralnetworksasthedatarulingcomponentsoffutureintelligentenergysystems
AT denisovmaksim artificialneuralnetworksasthedatarulingcomponentsoffutureintelligentenergysystems
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