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020 _a3319458620
_q(electronic book)
020 _a9783319458625
_q(electronic book)
020 _z3319458612
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020 _z9783319458618
_q(paper)
035 _a(OCoLC)960870493
_z(OCoLC)960901550
_z(OCoLC)962018309
_z(OCoLC)964293343
_z(OCoLC)964568450
_z(OCoLC)965422815
_z(OCoLC)966146452
_z(OCoLC)974650532
_z(OCoLC)1005754585
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050 4 _aTL220
_b.T364 2017 EB
100 1 _aTang, Wanrong,
_eautor
245 1 0 _aOptimal charging control of electric vehicles in smart grids
_cWanrong Tang, Ying Jun (Angela) Zhang.
264 1 _aCham, Switzerland
_bSpringer
_c[2017]
264 4 _c2017
300 _a1 recurso en línea (xi, 106 páginas)
_bilustraciones (algunas a color)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSpringerBriefs in electrical and computer engineering
_x2191-8120
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas
505 0 _aIntroduction -- ORCHARD Algorithm for PEV Charging -- A MPC-based PEV Charging Scheduling -- Optimal BESS Control in Microgrids -- Conclusions and Future Work.
520 3 _a"This book introduces the optimal online charging control of electric vehicles (EVs) and battery energy storage systems (BESSs) in smart grids. The ultimate goal is to minimize the total energy cost as well as reduce the fluctuation of the total power flow caused by the integration of the EVs and renewable energy generators. Using both theoretic analysis and data-driven numerical results, the authors reveal the effectiveness and efficiency of the proposed control techniques. A major benefit of these control techniques is their practicality, since they do not rely on any non-causal knowledge of future information. Researchers, operators of power grids, and EV users will find this to be an exceptional resource. It is also suitable for advanced-level students of computer science interested in networks, electric vehicles, and energy systems"--Provided by publisher.
650 7 _aVehículos eléctricos
_2embne
_0(OCoLC)fst01892852
_0
_9151458
700 1 _aZhang, Ying Jun,
_eautor
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-45862-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017A
998 _b02/2018
_dz
_e-
_zSI
999 _c94727
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