Smart Energy and Intelligent Transportation Systems

With the Internet of Things and various information and communication technologies, a city can manage its assets in a smarter way, constituting the urban development vision of a smart city. This facilitates a more efficient use of physical infrastructure and encourages citizen participation. Smart e...

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Natura: Online
Lingua:inglese
Pubblicazione: 2022
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Accesso online:ONIX_20220916_9783036544533_45
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collection Directory of Open Access Books
description With the Internet of Things and various information and communication technologies, a city can manage its assets in a smarter way, constituting the urban development vision of a smart city. This facilitates a more efficient use of physical infrastructure and encourages citizen participation. Smart energy and smart mobility are among the key aspects of the smart city, in which the electric vehicle (EV) is believed to take a key role. EVs are powered by various energy sources or the electricity grid. With proper scheduling, a large fleet of EVs can be charged from charging stations and parking infrastructures. Although the battery capacity of a single EV is small, an aggregation of EVs can perform as a significant power source or load, constituting a vehicle-to-grid (V2G) system. Besides acquiring energy from the grid, in V2G, EVs can also support the grid by providing various demand response and auxiliary services. Thanks to this, we can reduce our reliance on fossil fuels and utilize the renewable energy more effectively. This Special Issue “Smart Energy and Intelligent Transportation Systems” addresses existing knowledge gaps and advances smart energy and mobility. It consists of five peer-reviewed papers that cover a range of subjects and applications related to smart energy and transportation.
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spelling doab-20.500.12854ir-920592024-04-09T23:16:01Z Smart Energy and Intelligent Transportation Systems Lam, Albert Y.S. Łazarz, Bogusław Peruń, Grzegorz electric vehicles PROSA PROMETHEE for Sustainability Assessment MCDA Multi-Criteria Decision Analysis stochastic analysis Monte Carlo uncertainty cargo bicycles loading hub facility location problem computer simulations Python programing electric vehicle charging vehicle-to-grid genetic algorithms particle swarm optimization demand-side management discrete choice theory revenue management road–railway accidents classification trees road safety transport means accidents victims condition monitoring vibroacoustic diagnostics gearbox power transmission systems neural networks deep learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology With the Internet of Things and various information and communication technologies, a city can manage its assets in a smarter way, constituting the urban development vision of a smart city. This facilitates a more efficient use of physical infrastructure and encourages citizen participation. Smart energy and smart mobility are among the key aspects of the smart city, in which the electric vehicle (EV) is believed to take a key role. EVs are powered by various energy sources or the electricity grid. With proper scheduling, a large fleet of EVs can be charged from charging stations and parking infrastructures. Although the battery capacity of a single EV is small, an aggregation of EVs can perform as a significant power source or load, constituting a vehicle-to-grid (V2G) system. Besides acquiring energy from the grid, in V2G, EVs can also support the grid by providing various demand response and auxiliary services. Thanks to this, we can reduce our reliance on fossil fuels and utilize the renewable energy more effectively. This Special Issue “Smart Energy and Intelligent Transportation Systems” addresses existing knowledge gaps and advances smart energy and mobility. It consists of five peer-reviewed papers that cover a range of subjects and applications related to smart energy and transportation. 2022-09-16T13:46:32Z 2022-09-16T13:46:32Z 2022 book ONIX_20220916_9783036544533_45 9783036544533 9783036544540 https://directory.doabooks.org/handle/20.500.12854/92059 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5933 https://mdpi.com/books/pdfview/book/5933 10.3390/books978-3-0365-4454-0 10.3390/books978-3-0365-4454-0 MDPI - Multidisciplinary Digital Publishing Institute 9783036544533 9783036544540 110 Basel open access
spellingShingle electric vehicles
PROSA
PROMETHEE for Sustainability Assessment
MCDA
Multi-Criteria Decision Analysis
stochastic analysis
Monte Carlo
uncertainty
cargo bicycles
loading hub
facility location problem
computer simulations
Python programing
electric vehicle charging
vehicle-to-grid
genetic algorithms
particle swarm optimization
demand-side management
discrete choice theory
revenue management
road–railway accidents
classification trees
road safety
transport means
accidents victims
condition monitoring
vibroacoustic diagnostics
gearbox
power transmission systems
neural networks
deep learning
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Smart Energy and Intelligent Transportation Systems
title Smart Energy and Intelligent Transportation Systems
title_full Smart Energy and Intelligent Transportation Systems
title_fullStr Smart Energy and Intelligent Transportation Systems
title_full_unstemmed Smart Energy and Intelligent Transportation Systems
title_short Smart Energy and Intelligent Transportation Systems
title_sort smart energy and intelligent transportation systems
topic electric vehicles
PROSA
PROMETHEE for Sustainability Assessment
MCDA
Multi-Criteria Decision Analysis
stochastic analysis
Monte Carlo
uncertainty
cargo bicycles
loading hub
facility location problem
computer simulations
Python programing
electric vehicle charging
vehicle-to-grid
genetic algorithms
particle swarm optimization
demand-side management
discrete choice theory
revenue management
road–railway accidents
classification trees
road safety
transport means
accidents victims
condition monitoring
vibroacoustic diagnostics
gearbox
power transmission systems
neural networks
deep learning
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
topic_facet electric vehicles
PROSA
PROMETHEE for Sustainability Assessment
MCDA
Multi-Criteria Decision Analysis
stochastic analysis
Monte Carlo
uncertainty
cargo bicycles
loading hub
facility location problem
computer simulations
Python programing
electric vehicle charging
vehicle-to-grid
genetic algorithms
particle swarm optimization
demand-side management
discrete choice theory
revenue management
road–railway accidents
classification trees
road safety
transport means
accidents victims
condition monitoring
vibroacoustic diagnostics
gearbox
power transmission systems
neural networks
deep learning
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
url ONIX_20220916_9783036544533_45