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

Bibliographic Details
Parent link:MATEC Web of Conferences
Vol. 141 : Smart Grids 2017.— 2017.— [01049, 4 p.]
Main Author: Buran A. L. Anna Leonidovna
Corporate Author: National Research Tomsk Polytechnic University (TPU)
Other Authors: Denisov M. Maksim
Summary:Title screen
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.
Published: 2017
Subjects:
Online Access:https://doi.org/10.1051/matecconf/201714101049
http://earchive.tpu.ru/handle/11683/46038
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657326