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Article

Provision of Data to Use in Artificial Intelligence Algorithms for Single Room Heating

1
Fraunhofer Institute for Integrated Circuits IIS, 01069 Dresden, Germany
2
Institute of Architecture and Urban Development, University of the Arts Berlin, 10623 Berlin, Germany
*
Author to whom correspondence should be addressed.
Retired.
Academic Editor: Juan M. Corchado
Electronics 2021, 10(4), 523; https://doi.org/10.3390/electronics10040523
Received: 30 January 2021 / Revised: 17 February 2021 / Accepted: 20 February 2021 / Published: 23 February 2021
(This article belongs to the Special Issue Tools and Languages for Object-Oriented Modeling and Simulation)
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. View Full-Text
Keywords: modeling and simulation; building modeling; parameter variation; optimization modeling and simulation; building modeling; parameter variation; optimization
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MDPI and ACS Style

Majetta, K.; Clauß, C.; Nytsch-Geusen, C. Provision of Data to Use in Artificial Intelligence Algorithms for Single Room Heating. Electronics 2021, 10, 523. https://doi.org/10.3390/electronics10040523

AMA Style

Majetta K, Clauß C, Nytsch-Geusen C. Provision of Data to Use in Artificial Intelligence Algorithms for Single Room Heating. Electronics. 2021; 10(4):523. https://doi.org/10.3390/electronics10040523

Chicago/Turabian Style

Majetta, Kristin, Christoph Clauß, and Christoph Nytsch-Geusen. 2021. "Provision of Data to Use in Artificial Intelligence Algorithms for Single Room Heating" Electronics 10, no. 4: 523. https://doi.org/10.3390/electronics10040523

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