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Advanced DC-DC Power Converters and Switching Converters
| Advanced DC-DC Power Converters and Switching Converters |
| Autore | Musumeci Salvatore |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (188 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
interleaved operation
three-winding coupled inductor high step-up DC–DC converter DC/DC converter multi-input-port bidirectional energy storage three-phase bidirectional isolated DC-DC converter burst-mode switching high-frequency transformer configurations phase-shift modulation intermittent switching three-phase dual-active bridge bidirectional converter high efficiency GaN SiC buck-boost converter high switching frequency electric vehicle (EV) fast charging interleaved dc–dc converter SiC devices Si devices Component Connection Method power electronics-based systems stability analysis state-space methods virtual synchronous generators DC-DC converters photovoltaics single-diode model state-space multi-port dual-active bridge (DAB) converter wide-band-gap (WBG) semiconductors silicon carbide (SiC) MOSFETs power converter automotive battery charger circuit modelling power electronics SiC MOSFET |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557117103321 |
Musumeci Salvatore
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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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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
sensor network
data fusion complex network analysis fault prognosis photovoltaic plants ANFIS statistical method gradient descent photovoltaic system sustainable development PV power prediction artificial neural network renewable energy environmental parameters multiple regression model moth-flame optimization parameter extraction photovoltaic model double flames generation (DFG) strategy Solar cell parameters single-diode model two-diode model COA photovoltaic systems maximum power point tracking single stage grid connected systems solar concentrator spectral beam splitting diffractive optical element diffractive grating PVs power output forecasting adaptive neuro-fuzzy inference systems particle swarm optimization-artificial neural networks solar irradiation photovoltaic power prediction publicly available weather reports machine learning long short-term memory integrated energy systems smart energy management PV fleet clustering-based PV fault detection unsupervised learning self-imputation implicit model solution photovoltaic array series–parallel global optimization partial shading deterministic optimization algorithm metaheuristic optimization algorithm genetic algorithm solar cell optimization finite difference time domain optical modelling thermal image photovoltaic module hot spot image processing deterioration linear approximation MPPT algorithm duty cycle global horizontal irradiance mathematical modeling feed-forward neural networks recurrent neural networks LSTM cell performances evaluation clear sky irradiance persistent predictor photovoltaics artificial neural networks national power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
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Vitelli Massimo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Harvesting and Energy Storage Systems
| Energy Harvesting and Energy Storage Systems |
| Autore | Rajput Shailendra |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
photovoltaic
parameter extraction single-diode model double-diode model swarm intelligence TSA wind energy renewable resources Black-Scholes model AC-DC converter shunt regulator full bridge rectifier electrostatic vibration energy harvesting fully integrated IoT charge pump energy harvesting thermoelectric energy storage system (ESS) battery management system (BMS) battery efficiency state of charge (SoC) state of health (SoH) on-chip integration power management supercapacitor storage unit unbalanced distribution networks linear loads non-linear loads total harmonic distortion harmonic power flow proton exchange membrane fuel cell parameter identification optimization energy storage arithmetic optimization microgrid PLL RTDS direct power control fuzzy logic voltage source inverter IoMT devices energy autonomous wearables energy-storage energy management fog edge computing task offloading deep learning reinforced learning IoMT sooty tern optimization distributed generation equilibrium optimization technique wind turbines photovoltaics biomass generators |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566473503321 |
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Rajput Shailendra
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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