Development of room temperature prediction gray-box model using RC-Network analogy and least square boost

Koko Friansa; Justin Pradipta; Reyza Arif Mahendra Natawidjaja; Larasati Rahma Sya'Bannisa; F. X. Nugroho Soelami; Edi Leksono

doi:10.1063/5.0122791

Development of room temperature prediction gray-box model using RC-Network analogy and least square boost

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Koko Friansa, Justin Pradipta, Reyza Arif Mahendra Natawidjaja, Larasati Rahma Sya'Bannisa, F. X. Nugroho Soelami, Edi Leksono

2023 AIP Conference Proceedings Vol. 2580 Conference paper Cited by 0 SDG 7

Abstract

In this paper, a room temperature prediction model was developed using a gray-box approach. Room temperature prediction is an important part in building automation for building energy conservation and efficiency. The gray-box or hybrid model is an approach which combines white-box and black-box modeled components. The white box model in this research was a physics-based model built using electric © 2023 Author(s).

Affiliations

Engineering Physics Department, Institut Teknologi Bandung, Bandung, Indonesia; Energy System Engineering Department, Institut Teknologi Sumatera, South Lampung, Indonesia

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