Application of the BORUTA Algorithm to Input Data Selection for a Model Based on Rough Set Theory (RST) to Prediction Energy Consumption for Building Heating

Application of the BORUTA Algorithm to Input Data Selection for a Model Based on Rough Set Theory (RST) to Prediction Energy Consumption for Building Heating

Energy prediction used for building heating has attracted particular attention because it is often required in the development of various strategies to improve the energy efficiency of buildings, especially those undergoing thermal improvements. The complexity, dynamics, uncertainty, and nonlinearit...

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Bibliographic Details
Main Authors: Tomasz Szul, Sylwester Tabor, Krzysztof Pancerz
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
data selection
BORUTA algorithm
building load prediction
rough set theory
building energy modeling
thermal improvement of buildings
Online Access:https://www.mdpi.com/1996-1073/14/10/2779

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https://www.mdpi.com/1996-1073/14/10/2779

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