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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 online resource (366 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
adaptive protection
analytical angle swinging artificial intelligence artificial neural network based MPPT bidirectional power inverter Bolomey formula combinatorial optimization compressive strength control system coordination protection corrosion corrosion monitoring coverage path planning (CPP) cross-platform dark I-V curves data-driven deep learning deep learning (DL) defect detection DigSILENT distributed generation distributed power generation efficiency electric generator electromechanical system energy bands expected energy models failure modes simulation fault detection criterion fault diagnosis fault location in photovoltaic arrays faults diagnostic fleet-scale forecasting FPGA glass powder grid frequency oscillations GUI HMI hybrid boost converter I-V curve image segmentation image-processing inertial masses Lambert W-function lasso regression machine learning microgrid microgrids modeling monitoring non-conventional renewable energy offshore wind turbines online distributed measurement of dark I-V curves parameter extraction performance modeling photovoltaic (PV) plants photovoltaic (PV) systems photovoltaic aging photovoltaic module photovoltaic power forecasting photovoltaic resources photovoltaic systems power distribution power plant power system protection primary control renewable energies RNN SCADA semantic segmentation software solar cell solar panel solar power system spacecraft solar panels spectral analysis storage system sustainability sustainable concrete synthetic data thermal image thickness loss ultrasound unbalanced datasets unmanned aerial vehicle (UAV) variational autoencoders visualisation wind power wind turbine wind-turbine windfarm |
| 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 online resource (244 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
artificial neural networks
Baltic area climate cloud cloud coverage cloud detection coastal wind measurements coastline computational design method convection CSP plants data processing digitized image processing electrical resistivity tomography extreme value analysis feature engineering feature importance forecasting geophysical prospecting geothermal energy GES-CAL software global radiation graphical user interface software Hazaki Oceanographical Research Station hydropower reservoir image processing lake breeze influence light gradient boosting machine machine learning machine learning techniques metaheuristic multistep-ahead prediction parameter extraction passive design strategy photovoltaic power plant plan position indicator point cloud data potential well field location remote sensing remote sensing data acquisition renewable energy resource assessment and forecasting satellite scanning LiDAR scatterometer shading envelopes sky camera smart island solar energy solar energy resource solar irradiance enhancement solar irradiance estimation solar irradiance forecasting solar photovoltaic solar radiation forecasting statistical analysis surface solar radiation time domain electromagnetic method total sky imagery velocity volume processing voxel-design approach whale optimization algorithm wind speed |
| 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 online resource (280 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference systems
ANFIS artificial neural network artificial neural networks clear sky irradiance clustering-based PV fault detection COA complex network analysis data fusion deterioration deterministic optimization algorithm diffractive grating diffractive optical element double flames generation (DFG) strategy duty cycle environmental parameters fault prognosis feed-forward neural networks finite difference time domain genetic algorithm global horizontal irradiance global optimization gradient descent hot spot image processing implicit model solution integrated energy systems linear approximation long short-term memory LSTM cell machine learning mathematical modeling maximum power point tracking metaheuristic optimization algorithm moth-flame optimization MPPT algorithm multiple regression model national power system optical modelling parameter extraction partial shading particle swarm optimization-artificial neural networks performances evaluation persistent predictor photovoltaic array photovoltaic model photovoltaic module photovoltaic plants photovoltaic power prediction photovoltaic system photovoltaic systems photovoltaics publicly available weather reports PV fleet PV power prediction PVs power output forecasting recurrent neural networks renewable energy self-imputation sensor network series-parallel single stage grid connected systems single-diode model smart energy management solar cell optimization Solar cell parameters solar concentrator solar irradiation spectral beam splitting statistical method sustainable development thermal image two-diode model unsupervised learning |
| 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 / Emanuele Ogliari, Sonia Leva
| Computational Intelligence in Photovoltaic Systems / Emanuele Ogliari, Sonia Leva |
| Autore | Ogliari Emanuele |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (180 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
9783039210992
3039210998 |
| 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 online resource (256 p.) |
| Soggetto topico |
Physics
Research & information: general |
| Soggetto non controllato |
AC-DC converter
arithmetic optimization battery efficiency battery management system (BMS) biomass generators Black-Scholes model charge pump deep learning direct power control distributed generation double-diode model electrostatic vibration energy harvesting energy autonomous energy harvesting energy management energy storage energy storage system (ESS) energy-storage equilibrium optimization technique fog edge computing full bridge rectifier fully integrated fuzzy logic harmonic power flow IoMT IoMT devices IoT linear loads microgrid n/a non-linear loads on-chip integration optimization parameter extraction parameter identification photovoltaic photovoltaics PLL power management proton exchange membrane fuel cell reinforced learning renewable resources RTDS shunt regulator single-diode model sooty tern optimization state of charge (SoC) state of health (SoH) storage unit supercapacitor swarm intelligence task offloading thermoelectric total harmonic distortion TSA unbalanced distribution networks voltage source inverter wearables wind energy wind turbines |
| 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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