Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Stjelja, Davor"'
Data drifts pose a critical challenge in the lifecycle of machine learning (ML) models, affecting their performance and reliability. In response to this challenge, we present a microbenchmark study, called D3Bench, which evaluates the efficacy of ope
Externí odkaz:
http://arxiv.org/abs/2404.18673
Autor:
Clement, Tobias, Nguyen, Hung Truong Thanh, Kemmerzell, Nils, Abdelaal, Mohamed, Stjelja, Davor
This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focus on handling data distribution shifts. Leveraging SHAP clustering, ou
Externí odkaz:
http://arxiv.org/abs/2402.04982
Publikováno v:
In Energy & Buildings 15 June 2024 313
Autor:
Stjelja, Davor1,2 (AUTHOR) davor.stjelja@granlund.fi, Jokisalo, Juha1 (AUTHOR) risto.kosonen@aalto.fi, Kosonen, Risto1,3 (AUTHOR)
Publikováno v:
Energies (19961073). Mar2022, Vol. 15 Issue 6, p2078-2078. 21p.
An important instrument for achieving smart and high-performance buildings is Machine Learning (ML). A lot of research was done in exploring the ML learning models for various applications in the built environment such as occupancy prediction. Nevert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47091879ff381103ec5987b22d7f40f
https://aaltodoc.aalto.fi/handle/123456789/115482
https://aaltodoc.aalto.fi/handle/123456789/115482
Climate change and technological development are pushing buildings to become more sophisticated. The installation of modern building automation systems, smart meters, and IoT devices is increasing the amount of available building operational data. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______661::14cdd5d37c3af37e784d90a95819f60d
https://aaltodoc.aalto.fi/handle/123456789/101624
https://aaltodoc.aalto.fi/handle/123456789/101624
Autor:
Stjelja, Davor
U ovom radu razvijena i opisana je napredna metoda energijske analize za optimalno rješenje pri obnovi zgrada. Metoda se bazira na Building Information Modelling (BIM) načinu rada uz korištenje energijskih simulacija za analizu isplativosti obnove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1285de7401c08eac9924f729e520c01f
https://repozitorij.fsb.unizg.hr/islandora/object/fsb:3345/datastream/PDF
https://repozitorij.fsb.unizg.hr/islandora/object/fsb:3345/datastream/PDF
Autor:
Lițiu, Andrei Vladimir, Verbeke, Stijn, Hahn, Jakob, Stjelja, Davor, Dooley, Ken, Brelih-Wasowski, Nejc, Martinac, Ivo, Lavesson, Niklas, Gräslund, Jonas, Isaksson, Per Ola, Hälleberg, David, Carling, Pär
Publikováno v:
Romanian Journal of Civil Engineering / Revista Română de Inginerie Civilă; 2019, Vol. 10 Issue 3, p342-347, 6p