| Issue |
E3S Web Conf.
Volume 152, 2020
2019 International Conference on Power, Energy and Electrical Engineering (PEEE 2019)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 4 | |
| Section | Renewable Energy and Energy Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202015202006 | |
| Published online | 14 February 2020 | |
Simulation of energy consumption in urban areas
Moscow State University of Civil Engineering; 26, Yaroslavskoe Shosse, Moscow, 129337, Russia
* Corresponding author: ngaryaev@gmail.com
One of the problems that may arise in the way of successful implementation of energy supply in urban areas is the difficulty of analyzing and interpreting a large amount of digital data received from various sensors. This problem may adversely affect the performance of energy organizations. The purpose of this study is to study modern tools to solve the problem of processing big data using technologies of simulation and artificial intelligence. This study is dedicated to the development of innovative digital models for the balanced distribution of energy consumption in urban areas.
© The Authors, published by EDP Sciences, 2020
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.
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