Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00365659" target="_blank" >RIV/68407700:21110/22:00365659 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/app12073386" target="_blank" >https://doi.org/10.3390/app12073386</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app12073386" target="_blank" >10.3390/app12073386</a>

Result language

angličtina

Original language name

Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things

Original language description

A fundamental strategy of addressing the energy performance of buildings (EPB) and creating conditions for energy sustainability in applying renewable energy sources (RES) is the effective management of building technical equipment. The buildings in question are buildings within a cluster of buildings. The building cluster can be considered as a unit that is, in the sense of the system concept, a part of a subdivision of the city and subsequently of the whole urban agglomeration. We are talking about smart cities. The control system of a building and, subsequently, smart cities is a process management system using artificial intelligence (AI). In order to achieve the desired effects, such as “near-zero energy buildings”, as required by the European Energy Performance of Buildings Directive (EPBD 3), the application of AI needs to be shifted towards wireless network connection, i.e., “Internet of Things” (IoT) application. The aim is to create conditions for reducing energy consumption, improving environmental comfort in buildings and reducing CO2 emissions. This paper further analyzes the current state of IoT and the implementation thereof in the process management of sustainable energy at the smart city level as a basic element of a smart city system applied to building management.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Applied Sciences

ISSN

2076-3417

e-ISSN

2076-3417

Volume of the periodical

12

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

45

Pages from-to

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UT code for WoS article

000783110200001

EID of the result in the Scopus database

2-s2.0-85127545839