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Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
| Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids |
| Autore | Hernández-Callejo Luis |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (366 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
wind turbine
electric generator spectral analysis fault diagnosis photovoltaic power forecasting data-driven deep learning variational autoencoders RNN angle swinging grid frequency oscillations electromechanical system inertial masses microgrids coordination protection distributed generation photovoltaic resources DigSILENT photovoltaic module defect detection power plant efficiency thermal image photovoltaic aging dark I-V curves bidirectional power inverter online distributed measurement of dark I-V curves sustainability compressive strength Bolomey formula sustainable concrete glass powder solar cell solar panel parameter extraction analytical Lambert W-function spacecraft solar panels I-V curve modeling wind power non-conventional renewable energy forecasting energy bands combinatorial optimization deep learning (DL) unmanned aerial vehicle (UAV) photovoltaic (PV) systems image-processing image segmentation semantic segmentation faults diagnostic artificial intelligence unbalanced datasets synthetic data artificial neural network based MPPT hybrid boost converter renewable energies solar power system microgrid control system storage system primary control photovoltaic (PV) plants coverage path planning (CPP) corrosion monitoring FPGA offshore wind turbines ultrasound thickness loss SCADA visualisation software wind-turbine windfarm cross-platform HMI GUI corrosion monitoring photovoltaic systems expected energy models fleet-scale lasso regression performance modeling machine learning fault location in photovoltaic arrays failure modes simulation fault detection criterion adaptive protection distributed power generation power distribution power system protection |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566457603321 |
Hernández-Callejo Luis
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessment of Renewable Energy Resources with Remote Sensing
| Assessment of Renewable Energy Resources with Remote Sensing |
| Autore | Martins Fernando Ramos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
metaheuristic
parameter extraction solar photovoltaic whale optimization algorithm cloud detection digitized image processing artificial neural networks solar irradiance estimation solar irradiance forecasting solar energy sky camera remote sensing CSP plants coastal wind measurements scanning LiDAR plan position indicator velocity volume processing Hazaki Oceanographical Research Station cloud coverage image processing total sky imagery geothermal energy geophysical prospecting time domain electromagnetic method electrical resistivity tomography potential well field location GES-CAL software smart island solar radiation forecasting light gradient boosting machine multistep-ahead prediction feature importance voxel-design approach shading envelopes point cloud data computational design method passive design strategy lake breeze influence hydropower reservoir solar irradiance enhancement solar energy resource wind speed extreme value analysis scatterometer feature engineering forecasting graphical user interface software machine learning photovoltaic power plant surface solar radiation global radiation satellite Baltic area coastline cloud convection climate renewable energy resource assessment and forecasting remote sensing data acquisition data processing statistical analysis machine learning techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557427903321 |
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Martins Fernando Ramos
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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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Computational Intelligence in Photovoltaic Systems
| Computational Intelligence in Photovoltaic Systems |
| Autore | Ogliari Emanuele |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto non controllato |
artificial neural network
online diagnosis genetic algorithm renewable energy unit commitment photovoltaic panel power forecasting metaheuristic monitoring system embedded systems firefly algorithm tracking system MPPT algorithm integrated storage day-ahead forecast solar radiation prototype model artificial neural networks parameter extraction thermal image thermal model solar cell PV cell temperature evolutionary algorithms uncertainty battery harmony search meta-heuristic algorithm single-diode photovoltaic model symbiotic organisms search photovoltaics tilt angle smart photovoltaic system blind orientation photovoltaic particle swarm optimization analytical methods computational intelligence statistical errors ensemble methods solar photovoltaic electrical parameters demand response metaheuristic algorithm |
| ISBN | 3-03921-099-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674025103321 |
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Ogliari Emanuele
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| 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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Multifunctional Nanomaterials for Energy Applications
| Multifunctional Nanomaterials for Energy Applications |
| Autore | Cesano Federico |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (302 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
peritectic compound Li4(OH)3Br
phase change materials thermal energy storage shape stabilized composites supporting materials oxides colloidal lithography thin-film photovoltaics photonics light-trapping self-cleaning graphene triboelectric nanogenerator charge trapping layer flexible stability energy harvesting solar cells parameter extraction single diode model non-iterative sodium borohydride hydrolysis porous carbon Co nanoparticles durability Ti-MOFs amine functionalization CO2 capture separation breakthrough experiment carbon nanotube plastic chemical recycling life cycle assessment ethernet circular economy data transmission carbon footprint BaF2 nanophase oxyfluoride nano-glass-ceramics Tb3+/Eu3+ energy transfer sol-gel chemistry nanocellulose ionic liquid ionogel gel polymer electrolyte renewable energy storage supercapacitors Ti2SnC M2AX powders thin films STEM nanoindentation zinc-ion supercapacitor three-dimensional vertically aligned graphene polydopamine highly concentrated salt electrolyte mini-jets diffuse discharge spark discharge red sprites blue jets ghosts Atomic Force Microscopy Electrochemical Strain Microscopy hybrid electrolyte Energy Storage lithium transport lithium distribution all-solid-state electrolytes diffusion ferric ion sensor MOF finite difference composite materials Mn3O4-CeO2-rGO nanocatalyst methanol oxidation cyclic voltammetry cellulose nanocrystal surface functionalization conductive electrodes energy storage |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595075403321 |
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Cesano Federico
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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