Abstract
This paper describes a way to generate a great amount of data and to use it to find a relation between a room controller and a certain room. Therefore, simulation scenarios are defined and developed that contain different room, location, usage and controller models. With parameter variation and optimization of the corresponding controller parameters a data basis is created with about 5300 entries. On the basis of this data, machine learning algorithms like artificial neural networks can be used to investigate the relation between rooms and their best suited controllers.
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
Reference16 articles.
1. Energieeffizienz Gebäude,2015
2. Theory and applications of HVAC control systems – A review of model predictive control (MPC)
3. Air-Conditioning PID Control System with Adjustable Reset to Offset Thermal Loads Upsets
4. Safe contextual bayesian optimization for sustainable room temperature PID control tuning;Fiducioso;arXiv,2019
5. Bayesian optimization with safety constraints: Safe and automatic parameter tuning in robotics;Berkenkamp;arXiv,2010
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