Session

Energy Efficiency Engineering

Description

The scope of this study is to research or to find the tools for the modeling buildings and simulation on creating the models of smart houses and sustainability and their impact on the whole buildings systems and technologies for better and smarter living conditions for community. Increasing the Energy efficiency and improving the new capacity technologies for Building modeling systems and facilities should create the conditions for the Smart Cities tools and technology and this application in the practice, using the smart modeling systems such as (BIM - modeling) or others adaptive and self-learning buildings. Deepest analyzing Models used for Smart self-learning and Adaptive models of this buildings, can be sample for deep analyses and hypotheses methodology used for further research and developing the new models for the Smart Cities which can be implemented in the construction sector in Kosovo. We find a lot of challenges and more of the opportunities using during the estimation on this research study. Therefore, this paper will try to address the challenges and integration technologies for creating and estimate the study outcomes in the field of Smart cities and technologies used.

Keywords:

Smart house, Self-learning, Adaptive houses, Smart Cities, Construction sector Kosovo, Smart living, Smart technologies.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-95-6

Location

UBT Lipjan, Kosovo

Start Date

28-10-2023 8:00 AM

End Date

29-10-2023 6:00 PM

DOI

10.33107/ubt-ic.2023.63

Included in

Engineering Commons

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Oct 28th, 8:00 AM Oct 29th, 6:00 PM

Smart Self - learning adaptive modeling buildings and their impact on creation of the smart cities in Kosovo, challenges and opportunities

UBT Lipjan, Kosovo

The scope of this study is to research or to find the tools for the modeling buildings and simulation on creating the models of smart houses and sustainability and their impact on the whole buildings systems and technologies for better and smarter living conditions for community. Increasing the Energy efficiency and improving the new capacity technologies for Building modeling systems and facilities should create the conditions for the Smart Cities tools and technology and this application in the practice, using the smart modeling systems such as (BIM - modeling) or others adaptive and self-learning buildings. Deepest analyzing Models used for Smart self-learning and Adaptive models of this buildings, can be sample for deep analyses and hypotheses methodology used for further research and developing the new models for the Smart Cities which can be implemented in the construction sector in Kosovo. We find a lot of challenges and more of the opportunities using during the estimation on this research study. Therefore, this paper will try to address the challenges and integration technologies for creating and estimate the study outcomes in the field of Smart cities and technologies used.