TY - JOUR
T1 - Artificial neural networks as the data ruling components of future intelligent energy systems
AU - Buran, Anna
AU - Denisov, Maksim
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2017/12/12
Y1 - 2017/12/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85046371488&partnerID=8YFLogxK
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U2 - 10.1051/matecconf/201714101049
DO - 10.1051/matecconf/201714101049
M3 - Conference article
AN - SCOPUS:85046371488
VL - 141
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
SN - 2274-7214
M1 - 01049
T2 - 5th International Youth Forum on Smart Grids 2017
Y2 - 9 October 2017 through 13 October 2017
ER -