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Office Building’s Occupancy Prediction Using Extreme Learning Machine Model with Different Optimization Algorithms Cover

Office Building’s Occupancy Prediction Using Extreme Learning Machine Model with Different Optimization Algorithms

Environmental and Climate Technologies
Volume 25 (2021): Issue 1 (January 2021)
By: Violeta Motuzienė,  Jonas Bielskus,  Vilūnė Lapinskienė and  Genrika Rynkun  
Open Access
|Sep 2021

Authors

Violeta Motuzienė

violeta.motuziene@vilniustech.lt

Vilnius Gediminas Technical University, Vilnius, Lithuania

Jonas Bielskus

Vilnius Gediminas Technical University, Vilnius, Lithuania

Vilūnė Lapinskienė

Vilnius Gediminas Technical University, Vilnius, Lithuania

Genrika Rynkun

Vilnius Gediminas Technical University, Vilnius, Lithuania
DOI: https://doi.org/10.2478/rtuect-2021-0038 | Journal eISSN: 2255-8837 | Journal ISSN: 1691-5208
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Language: English
Page range: 525 - 536
Published on: Sep 20, 2021
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
CO (carbon dioxide),
Genetic Algorithm (GA),
office,
Simulated Annealing (SA)
Related subjects:
Life sciences,
Life sciences, other

© 2021 Violeta Motuzienė, Jonas Bielskus, Vilūnė Lapinskienė, Genrika Rynkun, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.

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