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Modelling the Impact of Installation of Heat Cost Allocators in DH Systems Using Machine Learning (CROSBI ID 648538)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa

Maljković, Danica ; Balen, Igor ; Dalbelo Bašić, Bojana Modelling the Impact of Installation of Heat Cost Allocators in DH Systems Using Machine Learning // Interklima 2017 / Dović, Damir ; Soldo, Vladimir ; Mudrinić, Saša (ur.). Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2017. str. 24-24

Podaci o odgovornosti

Maljković, Danica ; Balen, Igor ; Dalbelo Bašić, Bojana

engleski

Modelling the Impact of Installation of Heat Cost Allocators in DH Systems Using Machine Learning

In accordance with provisions of the EU Directive on Energy Efficiency, specifically Article 9, individual metering in district heating systems had to be introduced by the end of 2016 in all Member States, Croatia being one of these. The Directive allows installation of both heat metering devices and heat cost allocators. Heat consumption is dependent on a number of factors, such as heating degree days, building envelope characteristics, occupancy, existence of individual metering as a basis for change in user’s behaviour, etc. It is a complex system to model the exact influence of the change of one of the heat consumption factors on overall consumption. In previous research there have been a number of studies on building energy consumption modelling and the usual methods used are traditional multiple regression models, simulation methods and methods of artificial neural networks. In this paper algorithms of machine learning will be used to isolate the sole impact of installation of heat cost allocators on a single building in multifamily buildings connected to district heating systems. The analysis is based on the real consumption data from 3.600 households in 60 multifamily buildings in different cities in Croatia.

district heating, heat cost allocator, energy efficiency, machine learning

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Podaci o prilogu

24-24.

2017.

objavljeno

Podaci o matičnoj publikaciji

Interklima 2017

Dović, Damir ; Soldo, Vladimir ; Mudrinić, Saša

Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu

Podaci o skupu

24. MEĐUNARODNI SIMPOZIJ O GRIJANJU, HLAĐENJU I KLIMATIZACIJI / 24th INTERNATIONAL SYMPOSIUM ON HEATING, REFRIGERATING AND AIR CONDITIONING

predavanje

06.04.2017-06.04.2017

Zagreb, Hrvatska

Povezanost rada

Strojarstvo