PREDICTION MODEL OF PUBLIC HOUSES’ HEATING SYSTEMS: A COMPARISON OF SUPPORT VECTOR MACHINE METHOD AND RANDOM FOREST METHOD

PREDICTION MODEL OF PUBLIC HOUSES’ HEATING SYSTEMS: A COMPARISON OF SUPPORT VECTOR MACHINE METHOD AND RANDOM FOREST METHOD

Data analysis and predicting play an important role in managing heat-supplying systems. Applying the models of predicting the systems’ parameters is possible for qualitative management, accepting appropriate decisions relating control that will be aimed at increasing energy efficiency and decreasin...

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Bibliographic Details
Main Authors: Andrii Perekrest, Vladimir Chenchevoi, Olga Chencheva, Alexandr Kovalenko, Mykhailo Kushch-Zhyrko, Aliya Kalizhanova, Yedilkhan Amirgaliyev
Format: Article
Language:English
Published: Lublin University of Technology 2022-09-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
building heat supply
random forest
support vector machine
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/3032

Internet

https://ph.pollub.pl/index.php/iapgos/article/view/3032

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