Naslov
A systematic literature review of machine learning algorithms in modeling buildings energy efficiency

Autori
Mitrović, Saša ; Zekić Sušac, Marijana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
WEENTECH Proceedings in Energy / Agarwal, Avlokita ; Singh, Renu - Edinburgh : World Energy and Environment Technology Ltd., 2017, 191-196

ISBN
978-0-9932795-3-9

Skup
International conference on Energy, Environment and Economics

Mjesto i datum
Edinburgh, Ujedinjeno Kraljevstvo, 11.12.2017. - 13.12.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Algorithms ; Machine learning methods ; Models ; Energy efficiency ; Buildings ;

Sažetak
Reducing energy consumption is becoming increasingly important for European Union. In particular, energy efficiency is considered a strategic priority of the European Union’ energy policy. The purpose of the paper is to present a rigorous analysis of a number of algorithms used in machine learning methods for energy efficiency in buildings. This paper gives an overview of research during last ten years, presents state of the art, and also sets directions for usage of machine learning algorithms in methods for modeling buildings’ energy efficiency. Systematic review of algorithms’ effectiveness, advantages and limitations in predicting energy performance of buildings was preformed and critical review was given regarding the choice of algorithms used in machine learning methods to model energy efficiency of buildings. The paper can be useful to researchers and practitioners engaged in predictive analytics in the domain of buildings energy efficiency.

Izvorni jezik
Engleski

POVEZANOST RADA