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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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Energy Data Analytics for Smart Meter Data
| Energy Data Analytics for Smart Meter Data |
| Autore | Reinhardt Andreas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activation current
ambient influences appliance load signatures appliance recognition attention mechanism convolutional neural network Convolutional Neural Network data annotation data privacy data-driven approaches deep learning deep neural network deep neural networks device classification accuracy distance similarity matrix electric load simulation electric vehicle electrical energy electricity theft detection energy consumption energy data analytics energy data processing energy disaggregation ethics exponential distribution fryze power theory Gaussian mixture models GDPR K-means cluster load disaggregation load scheduling machine learning mathematical modeling multi-label learning n/a NILM NILM datasets non-intrusive load monitoring Non-intrusive Load Monitoring Non-Intrusive Load Monitoring (NILM) nontechnical losses Poisson distribution power consumption data power signature pulse generator random forest real-time review satisfaction semi-automatic labeling Shapley Value signature simulation smart energy system smart grid smart grids smart meter smart meter data smart metering smart meters smart power grids solar photovoltaics synthetic data synthetic minority oversampling technique text convolutional neural networks (TextCNN) time-series classification transient load signature transients user-centric applications of energy data V-I trajectory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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Reinhardt Andreas
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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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Industrial Applications: New Solutions for the New Era
| Industrial Applications: New Solutions for the New Era |
| Autore | de Sales Guerra Tsuzuki Marcos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (270 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial intelligence
asset administration shell benchmarking big data and analytics computer vision control strategy convolutional neural networks coordinate metrology COVID-19 data analytics data models database depth image digital manufacturing digital twin electrical machines electrical maintenance ensemble learning exoskeletons fault detection fever frequency inverter fuzzy goal-oriented requirements engineering image classification induction machines industry Industry 4.0 integrated inspection system intelligent systems IoT machine learning microgrid model-based systems engineering MLOps noise reduction operation and maintenance optical scanning Petri net photovoltaics PID controller prediction propagation velocity renewable energy ROS safety instrumented system service systems SVPWM modulation synthetic data test bench thermography UAV ultrasound uncertainty vector control ventricular assist device Bayesian network warehouse management water content water-in-crude oil emulsion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Industrial Applications |
| Record Nr. | UNINA-9910566468403321 |
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de Sales Guerra Tsuzuki Marcos
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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