The rising, applications, challenges, and future prospects of energy in smart grids and smart cities systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022575" target="_blank" >RIV/62690094:18450/25:50022575 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2590174525002946?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2590174525002946?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecmx.2025.101162" target="_blank" >10.1016/j.ecmx.2025.101162</a>
Alternative languages
Result language
angličtina
Original language name
The rising, applications, challenges, and future prospects of energy in smart grids and smart cities systems
Original language description
More than half of world's population lives in cities, which also consume around 75 % of world's energy and produce 80 % of its greenhouse gas emissions. In light of energy trilemma, which requires balancing the goals of sustainability, security, and affordability, it is crucial to ensure that cities are intelligently organized for both quality of life and resource efficiency, with a focus on energy use and management. The most effective strategy to lessen the effect of energy use on gas emissions and the depletion of natural resources is electrification in conjunction with use of renewable energy generation. Developing and managing electrical infrastructure is made more difficult by electrification, necessitating the use of smart grids, which are a crucial component of smart cities. Utilizing various energy sources more efficiently, consistently, and sustainably is made possible by smart grid technology. By improving the economy, government, environment, living conditions, healthcare, energy, and mobility, smart city apps make people's lives easier and more comfortable. This paper reviews the rising, applications, challenges, and future prospects in energy smart grids and smart cities systems. Several key components, such as IoT, renewable energy sources, and artificial intelligence (AI), including deep learning (DL) and machine learning (ML). Lastly, the study highlights innovative strategies and instruments that might strengthen smart city security and resilience against modern physical and cyber threats. © 2025 The Author(s)
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - 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
Result continuities
Project
<a href="/en/project/TS01020105" target="_blank" >TS01020105: Application of Dynamic System Models for Ensuring Power Substation Systems Cyber Security</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Energy Conversion and Management: X
ISSN
2590-1745
e-ISSN
2590-1745
Volume of the periodical
27
Issue of the periodical within the volume
July
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
16
Pages from-to
"Article Number: 101162"
UT code for WoS article
001541936800001
EID of the result in the Scopus database
2-s2.0-105011478756