| Dewey Class |
003 |
| Titolo |
Intelligent Control and Smart Energy Management ( EBook) : Renewable Resources and Transportation / / edited by Maude Josée Blondin, João Pedro Fernandes Trovão, Hicham Chaoui, Panos M. Pardalos. |
| Added Personal Name |
Blondin, Maude Josée |
| Fernandes Trovão, João Pedro |
| Chaoui, Hicham |
| Pardalos, Panos M. |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2022. |
| Pubblicazione |
Cham : : Springer International Publishing : : Imprint: Springer, , 2022. |
| Physical Details |
XIV, 427 p. 191 illus., 142 illus. in color. : online resource. |
| Serie |
Springer Optimization and Its Applications 1931-6836 ; ; 181 |
| ISBN |
9783030844745 |
| Summary Note |
This 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 tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.: |
| Contents note |
Predictive 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 (López-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 (García) -- 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). |
| Mode of acces to digital resource |
Digital reproduction.- |
| Cham : |
| Springer International Publishing, |
| 2022. - |
| Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-84474-5 |
| Link alle Opere Legate |
Riferimenti soggetto: .
Analysis .
Artificial intelligence .
Control theory .
Management science .
Mathematical analysis .
Operations research .
Operations Research, Management Science .
System theory .
Systems Theory, Control .
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