Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Johannes Exenberger"'
Autor:
Qamar Alfalouji, Thomas Schranz, Basak Falay, Sandra Wilfling, Johannes Exenberger, Thorsten Mattausch, Cláudio Gomes, Gerald Schweiger
Publikováno v:
Alfalouji, Q, Schranz, T, Falay, B, Wilfling, S, Exenberger, J, Mattausch, T, Gomes, C & Schweiger, G 2023, ' Co-simulation for buildings and smart energy systems — A taxonomic review ', Simulation Modelling Practice and Theory, vol. 126, 102770 . https://doi.org/10.1016/j.simpat.2023.102770
Modeling buildings and smart energy systems requires coupling a wide range of components into one unified simulation process, which can be difficult given the complexity of these systems. Hence, a large number of researchers integrate separate simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60caef626f40a7e32a11a8fd56eb3fcb
https://pure.au.dk/portal/da/publications/cosimulation-for-buildings-and-smart-energy-systems--a-taxonomic-review(e382a79a-0869-4f47-a03a-668a4d81e984).html
https://pure.au.dk/portal/da/publications/cosimulation-for-buildings-and-smart-energy-systems--a-taxonomic-review(e382a79a-0869-4f47-a03a-668a4d81e984).html
Autor:
James Allan, Divyanshu Sood, Christoph van Treeck, K.H. Häfele, Gerald Schweiger, Johannes Exenberger, Avichal Malhotra, James O'Donnell, Jérôme Frisch, Julian Bischof, Alexandru Nichersu
Publikováno v:
Articles
Climate change, increasing emissions and rising global temperatures have gradually affected the way we think about the future of our planet. Urban areas possess significant potential for reducing the energy consumption of the overall energy system. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::841096a4a17c8356ac03c658cdd8f4c1
https://arrow.tudublin.ie/dubenart/82
https://arrow.tudublin.ie/dubenart/82
Autor:
Thomas Schranz, Ingo Leusbrock, Basak Falay, Qamar Alfalouji, Gerald Schweiger, Sandra Wilfling, Christian Møldrup Legaard, Johannes Exenberger
Publikováno v:
Falay, B, Wilfling, S, Alfalouji, Q, Exenberger, J, Schranz, T, Legaard, C M, Leusbrock, I & Schweiger, G 2021, Coupling physical and machine learning models: case study of a single-family house . in Proceedings of 14th Modelica Conference 2021 . pp. 335-341, 14th Modelica Conference 2021, Linköping, Sweden, 20/09/2021 . https://doi.org/10.3384/ecp21181335
Future intelligent and integrated energy systems must have a high degree of flexibility and efficiency to ensure reliable and sustainable operation. Along with the rapid expansion of renewable energy, this degree of flexibility and efficiency can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3fa039513c872b9cca6a960b5db20d6
https://pure.au.dk/portal/da/publications/coupling-physical-and-machine-learning-models-case-study-of-a-singlefamily-house(1149e01d-1439-40a3-9d26-2d544d4cfbea).html
https://pure.au.dk/portal/da/publications/coupling-physical-and-machine-learning-models-case-study-of-a-singlefamily-house(1149e01d-1439-40a3-9d26-2d544d4cfbea).html
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3c5dedf5a872939eeece12f5a058867
https://doi.org/10.26868/25222708.2021.30806
https://doi.org/10.26868/25222708.2021.30806
