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Machine Learning for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
vacuum tank degasser
rule extraction extreme learning machine classification and regression trees wind power: wind speed: T–S fuzzy model: forecasting linearization machine learning photovoltaic output power forecasting hybrid interval forecasting relevance vector machine sample entropy ensemble empirical mode decomposition high permeability renewable energy blockchain technology energy router QoS index of energy flow MOPSO algorithm scheduling optimization Adaptive Neuro-Fuzzy Inference System insulator fault forecast wavelet packets time series forecasting power quality harmonic parameter harmonic responsibility monitoring data without phase angle parameter estimation blockchain energy internet information security forecasting clustering energy systems classification integrated energy system risk assessment component accident set vulnerability hybrid AC/DC power system stochastic optimization renewable energy source Volterra models wind turbine maintenance fatigue power control offshore wind farm Interfacial tension transformer oil parameters harmonic impedance traction network harmonic impedance identification linear regression model data evolution mechanism cast-resin transformers abnormal defects partial discharge pattern recognition hierarchical clustering decision tree industrial mathematics inverse problems intelligent control artificial intelligence energy management system smart microgrid optimization Volterra equations energy storage load leveling cyber-physical systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
Sidorov Denis N
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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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Power Electronics in Renewable Energy Systems
| Power Electronics in Renewable Energy Systems |
| Autore | Messo Tuomas |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (604 p.) |
| Soggetto non controllato |
washout filter
turbine and generator unbalanced power grid PV transient dynamics multi-input single output (MISO) permanent magnet synchronous generator (PMSG) static frequency characteristics impedance analysis FACTS devices coordinated control improved additional frequency control experiment resonant controller two-stage photovoltaic power voltage cancellation energy power matching LCL filter adaptive-MPPT (maximum power point tracking) VSC active power filter perturb and observe coordination control voltage-type control multiple VSGs wind power prediction linear quadratic regulator multiport converter (MPC) grid support function power ripple elimination adaptive resonant controller phase space reconstruction sliding mode control impedance emulation photovoltaic systems grid-connected converter SVM photovoltaic generators power grid active front-end converter THD type-4 wind turbine inertia ROCOF microgrid coupled oscillators multilevel power converter DC-AC power converters internal model back-to-back converter duty-ratio constraints selective harmonic mitigation parallel inverters discontinuous conduction mode droop control step size grid-connected inverter short-circuit fault energy router oscillation mitigation improved-VSG (virtual synchronous generator) source and load impedance synchronverter digital signal processor (DSP) TMS320F28335 operation optimization battery-energy storage generator speed control electrical power generation virtual impedance weak grid doubly-fed induction generator grid synchronization Energy Internet open circuit voltage state-of-charge balancing renewable power system control strategies adaptive notch filter (ANF) renewable energy hardware in the loop (HIL) energy storage microgrids inertia and damping characteristics electric vehicle multi-energy complementary static compensator stability battery energy storage system power-hardware-in- the-loop electricity price notch filter time series distorted grid oscillation suppression phase-locked loop (PLL) modules organic Rankine cycle failure zone Opal-RT Technologies® distributed generation modular multilevel converter governor microgrid (MG) second-life battery thermoelectric generator stability analysis wind energy system variable coefficient regulation single ended primary inductor converter (SEPIC) error soft switching power electronics PLL SPWM virtual synchronous generator perturbation frequency phase shifted grid-connected inverter cloud computing low inertia boost converter impedance reshaping small-signal and transient stability speed control multivariate linear regression photovoltaic adaptive control frequency regulation variable power tracking control power converters maximum power point tracking virtual admittance synchronization peak-current-mode control dynamic modeling discontinuous operation mode demand response |
| ISBN | 3-03921-045-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346844203321 |
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Messo Tuomas
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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