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Fuel Cell Renewable Hybrid Power Systems
| Fuel Cell Renewable Hybrid Power Systems |
| Autore | Bizon Nicu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Research and information: general
Technology: general issues |
| Soggetto non controllato |
AC charging station in mode 3
alternative energy automation system Bat Algorithm component sizing direct methanol fuel cell dynamic fuel cell model electrical efficiency electrical vehicle electricity distribution networks energy efficiency energy management system exergy efficiency fault ride-through fuel cell fuel cell powered vehicle fuel cell systems fuel economy fueling flows control Genetic Algorithm global extremum seeking human-machine interface hybrid power systems hydrogen economy hydrogen energy in-field test Internet of Things interval type-2 fuzzy logic system LNG load following long-term matlab medium- and heavy-duty trucks multi stacks optimal capacitor allocation optimization ownership cost Particle Swarm Optimization permanent magnet synchronous generator PLC portable power proton exchange membrane fuel cell real-time capability renewable energy sources required-power-following control sensors simulink solar concentrator Sperm-Whale Algorithm stationary application steam methane reforming steam methanol reforming Stirling engine Whale Algorithm wind energy conversion |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557599403321 |
Bizon Nicu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
| Autore | Yang, Xin-She |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 107 p. : ill. ; 24 cm |
| Altri autori (Persone) | He, Xing-Shi |
| Soggetto topico |
68Q25 - Analysis of algorithms and problem complexity [MSC 2020]
60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] 97N40 - Numerical analysis (educational aspects) [MSC 2020] 37N40 - Dynamical systems in optimization and economics [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
| Soggetto non controllato |
Algorithm Analysis
Ant Colony Optimization Bat Algorithm Bayesian Framework Bees-inspired Algorithms Cuckoo Search Essence of an Algorithm Filter Theory Firefly Algorithm General Formulation of Optimization Gradient-Based Optimization Techniques Gradient-Free Methods and Metaheuristics Hyper-Optimization Markov Chain Monte Carlo Nature-Inspired Algorithms Parameter Tuning and Control Particle Swarm Optimization Stability of an Algorithm Swarm Intelligence Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126993 |
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Yang, Xin-She
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He
| Mathematical Foundations of Nature-Inspired Algorithms / Xin-She Yang, Xing-Shi He |
| Autore | Yang, Xin-She |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xi, 107 p. : ill. ; 24 cm |
| Altri autori (Persone) | He, Xing-Shi |
| Soggetto topico |
37N40 - Dynamical systems in optimization and economics [MSC 2020]
46N10 - Applications of functional analysis in optimization, convex analysis, mathematical programming, economics [MSC 2020] 60J10 - Markov chains (discrete-time Markov processes on discrete state spaces) [MSC 2020] 68Q25 - Analysis of algorithms and problem complexity [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] 90Cxx - Mathematical programming [MSC 2020] 97N40 - Numerical analysis (educational aspects) [MSC 2020] |
| Soggetto non controllato |
Algorithm Analysis
Ant Colony Optimization Bat Algorithm Bayesian Framework Bees-inspired Algorithms Cuckoo Search Essence of an Algorithm Filter Theory Firefly Algorithm General Formulation of Optimization Gradient-Based Optimization Techniques Gradient-Free Methods and Metaheuristics Hyper-Optimization Markov Chain Monte Carlo Nature-Inspired Algorithms Parameter Tuning and Control Particle Swarm Optimization Stability of an Algorithm Swarm Intelligence Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00126993 |
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Yang, Xin-She
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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