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035   $a(CKB)5680000000080764
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/92059
035   $a(oapen)doab92059
035   $a(EXLCZ)995680000000080764
100   $a20202209d2022      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aSmart Energy and Intelligent Transportation Systems
210   $aBasel$d2022
215   $a1 online resource (110 p.)
311 08$a3-0365-4454-2 
311 08$a3-0365-4453-4 
330   $aWith 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.
606   $aHistory of engineering & technology$2bicssc
606   $aTechnology: general issues$2bicssc
610   $aaccidents victims
610   $acargo bicycles
610   $aclassification trees
610   $acomputer simulations
610   $acondition monitoring
610   $adeep learning
610   $ademand-side management
610   $adiscrete choice theory
610   $aelectric vehicle charging
610   $aelectric vehicles
610   $afacility location problem
610   $agearbox
610   $agenetic algorithms
610   $aloading hub
610   $aMCDA
610   $aMonte Carlo
610   $aMulti-Criteria Decision Analysis
610   $an/a
610   $aneural networks
610   $aparticle swarm optimization
610   $apower transmission systems
610   $aPROMETHEE for Sustainability Assessment
610   $aPROSA
610   $aPython programing
610   $arevenue management
610   $aroad safety
610   $aroad-railway accidents
610   $astochastic analysis
610   $atransport means
610   $auncertainty
610   $avehicle-to-grid
610   $avibroacoustic diagnostics
615  7$aHistory of engineering & technology
615  7$aTechnology: general issues
700   $aLam$b Albert Y.S$4edt$01332988
702   $a?azarz$b Bogus?aw$4edt
702   $aPerun?$b Grzegorz$4edt
702   $aLam$b Albert Y.S$4oth
702   $a?azarz$b Bogus?aw$4oth
702   $aPerun?$b Grzegorz$4oth
906   $aBOOK
912   $a9910595076203321
996   $aSmart Energy and Intelligent Transportation Systems$93041199
997   $aUNINA