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Advanced Energy Harvesting Technologies
| Advanced Energy Harvesting Technologies |
| Autore | Zhu Dibin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (236 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
piezoelectric harvester
orthoplanar spring trapezoidal leg vibration energy acoustic resonance closed side branch DDES wind energy harvester Autonomous Internet of Things vibration energy harvesting electromagnetic-mechanical modeling autonomous sensors self-powered device battery-less modules energy harvesting Wiegand sensor self-oscillating boost converter power management connected vehicles smart cities electric vehicle IoT Tesla triboelectric nanogenerators ocean wave artificial intelligence structural health monitoring TEG thermoelectricity thermal energy harvesting tracker wildlife animal ultra low power 3D printed vibration harvester electromagnetic hybrid photovoltaics solar panel highway urban street experimental investigation water solar still absorber silicon temperature dual resonance frequencies vibration electromagnetic energy harvester wide harvested frequency range enhanced "band-pass" harvested power independent resonant frequencies autonomous wireless sensor passive energy management weak vibration electromagnetic converter wideband planar spring voltage multiplier rectifier predictive maintenance failure detection WSN |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566464103321 |
Zhu Dibin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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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