Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Katarina Katic"'
Publikováno v:
Energy, 229:120711. Elsevier
In the energy renovation process, usually, buildings are upgraded to become energy-neutral annually with installed photovoltaic systems and heat pumps. However, the energy self-sufficiency of these buildings is surprisingly low. Therefore, the rapid
Publikováno v:
2020 International Conference on Smart Energy Systems and Technologies (SEST).
Demand forecast plays an important role in the power industry, as it sets the basis for decision making in power system operation and planning. Electricity consumption forecasting of individual buildings has been widely used for energy management, pl
Publikováno v:
Energy and Buildings, 209:109705. Elsevier
As with many other sectors, to improve the energy performance and energy neutrality requirements of individual buildings and groups of buildings, built environment is also making use of machine learning for improved energy demand predictions. The goa
Publikováno v:
Energy, 187:115968. Elsevier
In line with the EU's goal to phase out the use of fossil fuel, the Dutch government is determined to have gas-free new buildings from 2018 onwards. However, with over 90% of the heating demand in both existing residential and commercial buildings cu
Publikováno v:
Building and Environment, 106, 286-300. Elsevier
The human body’s heat exchange and its interaction with the surrounding environment has in the past years been the research focus of a number of disciplines. As a result, a number of human thermoregulation models have been developed since the first
Publikováno v:
Katić, K, Li, R, Verhaart, J & Zeiler, W 2018, ' Neural network based predictive control of personalized heating systems ', Energy and Buildings, vol. 174, pp. 199-213 . https://doi.org/10.1016/j.enbuild.2018.06.033
Energy and Buildings, 174, 199-213. Elsevier
Energy and Buildings, 174, 199-213. Elsevier
The aim of a personalized heating system is to provide a desirable microclimate for each individual when heating is needed. In this paper, we present a method based on machine learning algorithms for generation of predictive models for use in control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::563e333fe0c87e9fed79b83a7793ccd7
https://orbit.dtu.dk/en/publications/c0259060-a02a-4a39-bc84-ee83feb3a8a8
https://orbit.dtu.dk/en/publications/c0259060-a02a-4a39-bc84-ee83feb3a8a8
Publikováno v:
Journal of Thermal Biology, 69, 139-148. Elsevier Science
Journal of Thermal Biology, 69, 139-148. Elsevier
Journal of Thermal Biology, 69, 139-148. Elsevier
Skin temperature is a challenging parameter to predict due to the complex interaction of physical and physiological variations. Previous studies concerning the correlation of regional physiological characteristics and body composition showed that obe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8635c9ff86ce915e79d2e20b502c3e7
https://cris.maastrichtuniversity.nl/en/publications/7f8ea29f-4741-443e-8173-10414eb9f9b6
https://cris.maastrichtuniversity.nl/en/publications/7f8ea29f-4741-443e-8173-10414eb9f9b6
Autor:
Duić, Neven
Publikováno v:
Journal of Sustainable Development of Energy, Water & Environment Systems (JSDEWES); 2020, Vol. 8 Issue 4, p846-848, 3p
Publikováno v:
Virchows Archiv: European Journal of Pathology; May2008, Vol. 452 Issue 0, p1-286, 286p
Autor:
Lutz Hagestedt
Das Deutsche Literatur-Lexikon. Das 20. Jahrhundert gehört zu den umfassendsten und zuverlässigsten Nachschlagewerken zur deutschen Literatur des 20. und 21. Jahrhunderts. Der aktuelle Band verzeichnet u.a. Artikel über Walter Kempowski, Irmgard K