001447387 000__ 05070cam\a2200577Ii\4500 001447387 001__ 1447387 001447387 003__ OCoLC 001447387 005__ 20230310004115.0 001447387 006__ m\\\\\o\\d\\\\\\\\ 001447387 007__ cr\cn\nnnunnun 001447387 008__ 220610s2022\\\\sz\a\\\\o\\\\\000\0\eng\d 001447387 019__ $$a1322366017$$a1323251294 001447387 020__ $$a9783030844745$$q(electronic bk.) 001447387 020__ $$a3030844749$$q(electronic bk.) 001447387 020__ $$z9783030844738 001447387 020__ $$z3030844730 001447387 0247_ $$a10.1007/978-3-030-84474-5$$2doi 001447387 035__ $$aSP(OCoLC)1328031769 001447387 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dSFB$$dUKAHL$$dOCLCQ 001447387 049__ $$aISEA 001447387 050_4 $$aTJ163.3 001447387 08204 $$a658.2/6$$223/eng/20220610 001447387 24500 $$aIntelligent control and smart energy management :$$brenewable resources and transportation /$$cMaude Josée Blondin, Joao Pedro Fernandes Trovão, Hicham Chaoui, Panos M. Pardalos, editors. 001447387 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022. 001447387 300__ $$a1 online resource :$$billustrations (black and white, and color). 001447387 336__ $$atext$$btxt$$2rdacontent 001447387 337__ $$acomputer$$bc$$2rdamedia 001447387 338__ $$aonline resource$$bcr$$2rdacarrier 001447387 4901_ $$aSpringer optimization and its applications ;$$vvolume 181 001447387 5050_ $$aPredictive Energy Management for Fuel Cell Hybrid Electric Vehicles (Zhou) -- Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging (Lopez-Ibarra) -- Stochastic Optimization Methods for the Stochastic Storage Processes Control (Knopov) -- Challenges for a Massive Integration of Flexible Resources in LV Networks (Arboleya) -- Electrical railway power supply systems for high-speed lines: from traditional grids to smart grids (Castano-Solisr) -- Energy-efficient scheduling of intra-terminal container transport (Homayouni) -- Learning-based Control for Hybrid Battery Management Systems (Castro) -- Robust, Resilient, and Energy Efficient Satellite Formation Control (Phillips) -- A Methodology for the Assessment of Efficiency in Systems under Transient Conditions: Case Study for Hybrid Storage Systems in Elevators (Garcia) -- A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles (Hayat) -- Optimal energy management of electric vehicles supplied by battery and supercapacitors: A multi-objective approach (Nguyen) -- Transient Stability and Protection Evaluation of Distribution Systems with Distributed Energy Resources (Morais) -- Fuzzy Logic Control for Motor Drive Performance Improvement in EV Applications (C. Ta). 001447387 506__ $$aAccess limited to authorized users. 001447387 520__ $$aThis volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrows scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation. 001447387 588__ $$aDescription based on print version record. 001447387 650_0 $$aEnergy conservation$$xAutomation. 001447387 650_0 $$aAutomated vehicles. 001447387 650_0 $$aSmart power grids$$xAutomatic control. 001447387 650_0 $$aRenewable energy sources. 001447387 655_7 $$aLlibres electrònics.$$2thub 001447387 655_0 $$aElectronic books. 001447387 7001_ $$aBlondin, Maude Josée,$$eeditor. 001447387 7001_ $$aTrovão, Joao Pedro Fernandes,$$eeditor. 001447387 7001_ $$aChaoui, Hicham,$$eeditor. 001447387 7001_ $$aPardalos, P. M.$$q(Panos M.),$$d1954-$$eeditor.$$1https://isni.org/isni/0000000122840180 001447387 77608 $$iPrint version:$$tIntelligent control and smart energy management.$$dCham : Springer, 2022$$z9783030844738$$w(OCoLC)1308479123 001447387 830_0 $$aSpringer optimization and its applications ;$$vv. 181. 001447387 852__ $$bebk 001447387 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-84474-5$$zOnline Access$$91397441.1 001447387 909CO $$ooai:library.usi.edu:1447387$$pGLOBAL_SET 001447387 980__ $$aBIB 001447387 980__ $$aEBOOK 001447387 982__ $$aEbook 001447387 983__ $$aOnline 001447387 994__ $$a92$$bISE