MATEC Web Conf.
Volume 141, 2017The Fifth International Youth Forum “Smart Grids 2017”
|Number of page(s)||4|
|Published online||12 December 2017|
Artificial neural networks as the data ruling components of future intelligent energy systems
National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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