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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 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
fuel cell powered vehicle
medium- and heavy-duty trucks component sizing ownership cost optimization hybrid power systems renewable energy sources fuel cell systems required-power-following control fuel economy permanent magnet synchronous generator fault ride-through interval type-2 fuzzy logic system wind energy conversion proton exchange membrane fuel cell hydrogen economy fueling flows control global extremum seeking load following matlab simulink real-time capability dynamic fuel cell model electricity distribution networks optimal capacitor allocation Genetic Algorithm Particle Swarm Optimization Bat Algorithm Whale Algorithm Sperm-Whale Algorithm alternative energy energy efficiency fuel cell hydrogen energy stationary application electrical vehicle AC charging station in mode 3 PLC steam methane reforming steam methanol reforming electrical efficiency exergy efficiency LNG Stirling engine solar concentrator automation system human–machine interface sensors direct methanol fuel cell multi stacks portable power energy management system Internet of Things long-term in-field test |
| 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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