Electromagnetic Interference and Compatibility |
Autore | Crovetti Paolo Stefano |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (206 p.) |
Soggetto topico |
Technology: general issues
Energy industries & utilities |
Soggetto non controllato |
electromagnetic bandgap (EBG)
dual perforation (DP) parallel-plate noise power delivery network (PDN) printed circuit board (PCB) meander split power/ground plane crosstalk signal integrity equivalent circuit capacitive and magnetic coupling hall-effect current sensors commercial current sensor electromagnetic compatibility (EMC) electromagnetic interference (EMI) direct power injection (DPI) test transverse-electromagnetic (TEM) test bulk current injection (BCI) test Spread Spectrum DC–DC power converters digital communications channel capacity resonant coupling Electromagnetic Interferences Amplifiers CMOS integrated circuits susceptibility of the output pin electromagnetic compatibility power electronics EMC EMI mitigation techniques EMI filter design and optimization common mode noise EMI modeling Fourier series impedance balancing resonant frequency battery management system (BMS) Li-ion battery pack electric vehicles (EVs) hybrid electric vehicles (HEVs) IC-level EMC susceptibility to electromagnetic interference (EMI) direct power injection (DPI) anechoic chamber polyaniline gelatin composite microwave absorption dielectric permittivity electrical conductivity shielding effectiveness biochar eco-friendly material cementitious composites waveguides electromagnetic interference (EMI) suppressors sleeve ferrite cores cable filtering nanocrystalline (NC) split-core snap ferrite gap DC currents relative permeability impedance conducted emissions Discrete Wavelet Transform electromagnetic interference Empirical Mode Decomposition harmonics Switched-Mode Power Supplies transients Wavelet Packet Transform |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557373303321 |
Crovetti Paolo Stefano | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data |
Autore | Reinhardt Andreas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (346 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
smart grid
nontechnical losses electricity theft detection synthetic minority oversampling technique K-means cluster random forest smart grids smart energy system smart meter GDPR data privacy ethics multi-label learning Non-intrusive Load Monitoring appliance recognition fryze power theory V-I trajectory Convolutional Neural Network distance similarity matrix activation current electric vehicle synthetic data exponential distribution Poisson distribution Gaussian mixture models mathematical modeling machine learning simulation Non-Intrusive Load Monitoring (NILM) NILM datasets power signature electric load simulation data-driven approaches smart meters text convolutional neural networks (TextCNN) time-series classification data annotation non-intrusive load monitoring semi-automatic labeling appliance load signatures ambient influences device classification accuracy NILM signature load disaggregation transients pulse generator smart metering smart power grids power consumption data energy data processing user-centric applications of energy data convolutional neural network energy consumption energy data analytics energy disaggregation real-time smart meter data transient load signature attention mechanism deep neural network electrical energy load scheduling satisfaction Shapley Value solar photovoltaics review deep learning deep neural networks |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557645803321 |
Reinhardt Andreas | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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