Intelligent Distributed System for Indoor Heat Flow Control

Y. Nurakhov, B. Bektugan, K. Nurbergen, T. Imankulov, D. Akhmed-Zaki

2019

Abstract

In this paper, we consider the software and hardware implementation of an intelligent distributed system for forecasting and controlling the optimal distribution of heat in the room. Prediction is based on a pre-trained neural network model. The system uses calculation results of the one-dimensional heat conduction problem to correct neural model being trained and decides to turn on / off a specific air conditioner depending on the predicted data.

Paper Citation

in Harvard Style

Nurakhov Y., Bektugan B., Nurbergen K., Imankulov T. and Akhmed-Zaki D. (2019). Intelligent Distributed System for Indoor Heat Flow Control.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 320-324. DOI: 10.5220/0007927903200324

in Bibtex Style

@conference{icinco19,
author={Y. Nurakhov and B. Bektugan and K. Nurbergen and T. Imankulov and D. Akhmed-Zaki},
title={Intelligent Distributed System for Indoor Heat Flow Control},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={320-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007927903200324},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Intelligent Distributed System for Indoor Heat Flow Control
SN - 978-989-758-380-3
AU - Nurakhov Y.
AU - Bektugan B.
AU - Nurbergen K.
AU - Imankulov T.
AU - Akhmed-Zaki D.
PY - 2019
SP - 320
EP - 324
DO - 10.5220/0007927903200324