Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ján Drgona"'
Publikováno v:
Schranz, T, Exenberger, J, Legaard, C M, Drgona, J & Schweiger, G 2023, Energy prediction under changed demand conditions: robust machine learning models and input feature combinations . in Proceedings of Building Simulation 2021: 17th Conference of IBPSA . International Building Performance Association (IBPSA), pp. 3268-3275, Building Simulation 2021, Bruges, Belgium, 01/09/2021 . https://doi.org/10.26868/25222708.2021.30806
Autor:
Ziyao Yang, Amol D. Gaidhane, Ján Drgoňa, Vikas Chandan, Mahantesh M. Halappanavar, Frank Liu, Yu Cao
Publikováno v:
Energy and AI, Vol 16, Iss , Pp 100346- (2024)
In this paper, we propose a graph model embedded with compact physical equations for modeling the thermal dynamics of buildings. The principles of heat flow across various components in the building, such as walls and doors, fit the message-passing s
Externí odkaz:
https://doaj.org/article/e2848fcb20624af29eb788e7c20153b8
Autor:
Hari Prasanna Das, Yu-Wen Lin, Utkarsha Agwan, Lucas Spangher, Alex Devonport, Yu Yang, Ján Drgoňa, Adrian Chong, Stefano Schiavon, Costas J. Spanos
Publikováno v:
Environmental Data Science, Vol 3 (2024)
Energy consumption in buildings, both residential and commercial, accounts for approximately 40% of all energy usage in the United States, and similar numbers are being reported from countries around the world. This significant amount of energy is us
Externí odkaz:
https://doaj.org/article/add17112b1234d7ea9fda715c5f5488e
Publikováno v:
IEEE Open Journal of Control Systems, Vol 1, Pp 100-112 (2022)
In this paper, we provide sufficient conditions for dissipativity and local asymptotic stability of discrete-time dynamical systems parametrized by deep neural networks. We leverage the representation of neural networks as pointwise affine maps, thus
Externí odkaz:
https://doaj.org/article/cd7b89bb71994d95b1ef04382540f209